From f9303fedd89fcbe1512b3b5e76b9b90f650bc4ca Mon Sep 17 00:00:00 2001 From: Jason Stajich Date: Sun, 8 Nov 2026 15:53:22 -0800 Subject: [PATCH 1/7] clone_solid.py: clone groups of every reads species by solid-containment ANI from the worker sketches Co-Authored-By: Claude Opus 5.5 --- .../reads/sra_survey/pilot/clone_solid.py | 179 ++++++++++++++++++ tests/test_clone_solid.py | 82 ++++++++ 2 files changed, 261 insertions(+) create mode 100644 datasets/reads/sra_survey/pilot/clone_solid.py create mode 100644 tests/test_clone_solid.py diff --git a/datasets/reads/sra_survey/pilot/clone_solid.py b/datasets/reads/sra_survey/pilot/clone_solid.py new file mode 100644 index 00000000..670e0d01 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid.py @@ -0,0 +1,179 @@ +#!/usr/bin/env python3 +"""Clone groups of every species of the reads survey from the worker's read sketches, by "solid containment" ANI (the distance of +datasets/reads/sketch_store/sketch_query.py, validated 2026-11-07 on 136 A. fumigatus strains against SNP calls). + +Solid containment: a hash counts in run a's denominator only if its abundance in a is at least max(3, 0.25 x a's median abundance), +and as shared if run b has it at all. Sequencing errors (low abundance) leave the denominator, and coverage gaps in b do not count as +differences. ANI(a,b) = mean over both directions of containment^(1/21). Sketches (k=21, scaled 500, abundances; written by +genotype_mat_one_accession.sh with SKETCH=1 from the run's subsample) are downsampled to scaled 1000 first, as in sketch_query.py. + +Clusters: average linkage (scipy) on 1-ANI, cut at each of THRESHOLDS. The site builder (scripts/build_reads_site.py) reads the +clone ids and applies its plateau rule; this script only records what the reads say. + + clone_solid.py --pilot PILOT_DIR --sigs DIR [--sigs DIR ...] --out OUT_DIR [--threads N] [--only SLUG ...] + +PILOT_DIR: the committed wave folders (wave*/results_all_final.tsv give run -> species group). DIR: folders holding .sig.zip +(searched in the order given; the first copy of a run wins). Writes per group OUT_DIR/.clones.tsv (one row per sketched run) and +OUT_DIR/summary.tsv (one row per group). Columns of .clones.tsv: + run, hashes, solid_hashes, median_abund (k-mer abundance: a coverage proxy for the subsample), nearest_run, nearest_ani, + clone_ for each threshold t (c1 = the largest group), min_ani_ (least similar pair inside that run's group; blank for a singleton). +""" +import argparse, csv, glob, os, re, sys +from collections import defaultdict +from multiprocessing import Pool + +import numpy as np + +K, SCALED, SOLID = 21, 1000, 0.25 +MAXH = 2 ** 64 +THRESHOLDS = (0.9999, 0.9995, 0.999, 0.998) +LOW_COVERAGE = 8 # median k-mer abundance below this: too few solid hashes to separate clones (sketch_query.py qc flag) + + +def downsample(d, scaled=SCALED): + """{hash: abundance} kept to hashes below 2^64/scaled (FracMinHash downsampling).""" + lim = MAXH // scaled + return {h: v for h, v in d.items() if h < lim} + + +def solid(d): + """(median abundance, set of solid hashes) of one sketch: abundance >= max(3, 0.25 x median).""" + if not d: return 0.0, set() + med = float(np.median(list(d.values()))) + thr = max(3.0, SOLID * med) + return med, {h for h, v in d.items() if v >= thr} + + +def ani_matrix(sketches): + """Solid-containment ANI between every pair of sketches (list of {hash: abundance}); returns an n x n array, diagonal 1.""" + n = len(sketches) + sol = [solid(d)[1] for d in sketches] + alls = [set(d) for d in sketches] + cnt = defaultdict(int) + for s in alls: + for h in s: cnt[h] += 1 + cols = {h: i for i, h in enumerate(h for h, c in cnt.items() if c >= 2)} + A = np.zeros((n, len(cols)), dtype=np.float32); S = np.zeros((n, len(cols)), dtype=np.float32) + for i in range(n): + A[i, [cols[h] for h in alls[i] if h in cols]] = 1 + S[i, [cols[h] for h in sol[i] if h in cols]] = 1 + I = S @ A.T # |solid(a) ∩ all(b)| + C = I / np.maximum(np.array([len(s) for s in sol], dtype=float), 1)[:, None] + C = np.clip(C, 1e-12, 1) ** (1 / K) + M = 0.5 * (C + C.T); np.fill_diagonal(M, 1.0) + return M + + +def clusters(M, thresholds=THRESHOLDS): + """{t: list of clone labels "c1".. (c1 the largest; ties by first member)} from average linkage on 1-M.""" + n = len(M) + if n == 1: return {t: ["c1"] for t in thresholds} + from scipy.cluster.hierarchy import linkage, fcluster + from scipy.spatial.distance import squareform + D = np.clip(1 - M.astype(np.float64), 0, None); np.fill_diagonal(D, 0) + Z = linkage(squareform(D, checks=False), method="average") + out = {} + for t in thresholds: + raw = fcluster(Z, 1 - t + 1e-12, criterion="distance") + members = defaultdict(list) + for i, c in enumerate(raw): members[c].append(i) + order = sorted(members.values(), key=lambda m: (-len(m), m[0])) + lab = [""] * n + for j, m in enumerate(order, 1): + for i in m: lab[i] = f"c{j}" + out[t] = lab + return out + + +def group_min(M, labels): + """Per run, the least similar pair inside its group (None for a singleton).""" + idx = defaultdict(list) + for i, c in enumerate(labels): idx[c].append(i) + res = [None] * len(labels) + for m in idx.values(): + if len(m) < 2: continue + v = float(M[np.ix_(m, m)][np.triu_indices(len(m), 1)].min()) + for i in m: res[i] = v + return res + + +def species_groups(pilot): + """{slug: [runs]} from every committed wave table (results_all_final.tsv), runs in first-seen order, no duplicates.""" + g = defaultdict(list); seen = set() + for w in sorted(glob.glob(os.path.join(pilot, "wave*"))): + f = os.path.join(w, "results_all_final.tsv") + if not (re.fullmatch(r"wave\d+[a-z_]*", os.path.basename(w)) and os.path.exists(f)): continue + for r in csv.DictReader(open(f, newline=""), delimiter="\t"): + if r.get("run") and r.get("group") and r["run"] not in seen: + seen.add(r["run"]); g[r["group"]].append(r["run"]) + return g + + +def load_sig(path): + import sourmash + for ss in sourmash.load_file_as_signatures(path, ksize=K): + return downsample(dict(ss.minhash.hashes)) + return {} + + +def write_group(slug, runs, sketches, out): + M = ani_matrix(sketches) + labs = clusters(M) + mins = {t: group_min(M, labs[t]) for t in THRESHOLDS} + stats = [solid(d) for d in sketches] + n = len(runs) + with open(os.path.join(out, slug + ".clones.tsv"), "w", newline="") as fh: + w = csv.writer(fh, delimiter="\t", lineterminator="\n") + w.writerow(["run", "hashes", "solid_hashes", "median_abund", "nearest_run", "nearest_ani"] + [f"clone_{t}" for t in THRESHOLDS] + [f"min_ani_{t}" for t in THRESHOLDS]) + for i, r in enumerate(runs): + if n > 1: + row = M[i].copy(); row[i] = -1; j = int(row.argmax()); near, nani = runs[j], f"{M[i, j]:.6f}" + else: + near, nani = "", "" + w.writerow([r, len(sketches[i]), len(stats[i][1]), f"{stats[i][0]:.1f}", near, nani] + [labs[t][i] for t in THRESHOLDS] + + ["" if mins[t][i] is None else f"{mins[t][i]:.6f}" for t in THRESHOLDS]) + iu = np.triu_indices(n, 1) + between = M[iu] if n > 1 else np.array([]) + meds = [s[0] for s in stats] + return {"slug": slug, "runs": n, "median_abund": f"{np.median(meds):.1f}", "low_coverage_runs": sum(m < LOW_COVERAGE for m in meds), + "between_median": f"{np.median(between):.6f}" if len(between) else "", "between_p99": f"{np.quantile(between, .99):.6f}" if len(between) else "", + **{f"clones_{t}": len(set(labs[t])) for t in THRESHOLDS}} + + +def _load(arg): + run, path = arg + try: return run, load_sig(path) + except Exception as e: + print(f"unreadable sketch {path}: {e}", file=sys.stderr); return run, None + + +def main(): + ap = argparse.ArgumentParser(description=__doc__.split("\n\n")[0]) + ap.add_argument("--pilot", required=True); ap.add_argument("--sigs", action="append", required=True); ap.add_argument("--out", required=True) + ap.add_argument("--threads", type=int, default=int(os.environ.get("SLURM_CPUS_PER_TASK", 4))); ap.add_argument("--only", nargs="*") + a = ap.parse_args() + os.makedirs(a.out, exist_ok=True) + where = {} + for d in a.sigs: + for p in glob.glob(os.path.join(d, "*.sig.zip")): + r = os.path.basename(p)[:-len(".sig.zip")] + if "." not in r: where.setdefault(r, p) # .a.sig.zip halves are not runs + groups = species_groups(a.pilot) + rows = [] + for slug in sorted(groups): + if a.only and slug not in a.only: continue + have = [r for r in groups[slug] if r in where] + if not have: continue + with Pool(a.threads) as p: + got = [(r, d) for r, d in p.map(_load, [(r, where[r]) for r in have]) if d] + if not got: continue + s = write_group(slug, [r for r, _ in got], [d for _, d in got], a.out) + s["typed_runs"] = len(groups[slug]); rows.append(s) + print(f"{slug}: {s['runs']} of {len(groups[slug])} runs sketched; clones at 0.9995 {s['clones_0.9995']}; median abundance {s['median_abund']}", flush=True) + cols = ["slug", "typed_runs", "runs", "median_abund", "low_coverage_runs", "between_median", "between_p99"] + [f"clones_{t}" for t in THRESHOLDS] + with open(os.path.join(a.out, "summary.tsv"), "w", newline="") as fh: + w = csv.DictWriter(fh, cols, delimiter="\t", lineterminator="\n"); w.writeheader(); w.writerows(rows) + + +if __name__ == "__main__": + main() diff --git a/tests/test_clone_solid.py b/tests/test_clone_solid.py new file mode 100644 index 00000000..00296439 --- /dev/null +++ b/tests/test_clone_solid.py @@ -0,0 +1,82 @@ +"""datasets/reads/sra_survey/pilot/clone_solid.py: solid-containment ANI ignores sequencing errors and coverage gaps, average-linkage +clone labels, and the per-species tables (no sourmash needed: sketches are {hash: abundance} dicts).""" +import csv, importlib.util, random, sys +from pathlib import Path + +import pytest + +np = pytest.importorskip("numpy") +pytest.importorskip("scipy") +REPO = Path(__file__).resolve().parent.parent +PATH = REPO / "datasets" / "reads" / "sra_survey" / "pilot" / "clone_solid.py" +spec = importlib.util.spec_from_file_location("clone_solid", PATH); cs = importlib.util.module_from_spec(spec); spec.loader.exec_module(cs) + + +def genome(seed, n=4000): + rnd = random.Random(seed) + return [rnd.randrange(1, 2 ** 50) for _ in range(n)] + + +def sample(hashes, seed, cov=20, errors=400, gaps=0.02): + """A sketch of one sequenced genome: abundances around cov, `errors` error hashes seen once or twice, a fraction `gaps` not seen at all.""" + rnd = random.Random(seed) + d = {h: max(1, int(rnd.gauss(cov, cov ** 0.5))) for h in hashes if rnd.random() >= gaps} + for _ in range(errors): d[rnd.randrange(2 ** 50, 2 ** 51)] = rnd.choice((1, 2)) + return d + + +def strain(base, seed, frac): + """Another strain: a fraction frac of the base genome's hashes replaced.""" + rnd = random.Random(seed) + return [h if rnd.random() >= frac else rnd.randrange(2 ** 51, 2 ** 52) for h in base] + + +def test_same_genome_sequenced_twice_is_near_one_and_a_different_strain_is_not(): + g = genome(1); other = strain(g, 2, 0.05) + M = cs.ani_matrix([sample(g, 10), sample(g, 11), sample(other, 12)]) + assert M[0, 1] > 0.9995 # errors and 2% gaps do not count as differences + assert 0.995 < M[0, 2] < 0.999 # 5% of hashes differ: 0.95^(1/21) ~ 0.9976 + assert np.allclose(M, M.T) and np.all(np.diag(M) == 1) + + +def test_solid_drops_low_abundance_hashes(): + med, sol = cs.solid({1: 20, 2: 22, 3: 1, 4: 2, 5: 21}) + assert med == 20 and sol == {1, 2, 5} + + +def test_downsample_keeps_hashes_below_the_scaled_limit(): + lim = cs.MAXH // 1000 + assert cs.downsample({lim - 1: 5, lim: 5, 3: 1}) == {lim - 1: 5, 3: 1} + + +def test_clusters_label_the_largest_group_c1_and_cut_at_each_threshold(): + g = genome(3); far = strain(g, 4, 0.30); near = strain(g, 5, 0.03) + sk = [sample(far, 20), sample(g, 21), sample(g, 22), sample(g, 23), sample(near, 24)] + M = cs.ani_matrix(sk); labs = cs.clusters(M, (0.9995, 0.99)) + assert labs[0.9995][1] == labs[0.9995][2] == labs[0.9995][3] == "c1" + assert len(set(labs[0.9995])) == 3 # the clone of three, the near strain alone, the far strain alone + assert labs[0.99][4] == "c1" and labs[0.99][0] != "c1" # at 0.99 the near strain (0.97^(1/21) ~ 0.9985) joins + mins = cs.group_min(M, labs[0.9995]) + assert mins[0] is None and mins[1] == mins[2] > 0.9995 + + +def test_one_run_is_its_own_clone(): + assert cs.clusters(np.ones((1, 1)), (0.999,)) == {0.999: ["c1"]} + + +def test_species_groups_reads_every_committed_wave_once(tmp_path): + for w, rows in (("wave1", [("SRR1", "sp_a"), ("SRR2", "sp_b")]), ("wave3_asco", [("SRR3", "sp_a"), ("SRR1", "sp_a")]), ("waveX_old", [("SRR9", "sp_a")])): + (tmp_path / w).mkdir() + with open(tmp_path / w / "results_all_final.tsv", "w") as fh: + fh.write("run\tgroup\n" + "".join(f"{r}\t{g}\n" for r, g in rows)) + assert dict(cs.species_groups(str(tmp_path))) == {"sp_a": ["SRR1", "SRR3"], "sp_b": ["SRR2"]} + + +def test_write_group_gives_a_row_per_run_and_a_summary(tmp_path): + g = genome(6) + s = cs.write_group("sp_a", ["R1", "R2", "R3"], [sample(g, 1), sample(g, 2), sample(strain(g, 7, 0.1), 3, cov=5)], str(tmp_path)) + rows = list(csv.DictReader(open(tmp_path / "sp_a.clones.tsv"), delimiter="\t")) + assert [r["run"] for r in rows] == ["R1", "R2", "R3"] + assert rows[0]["nearest_run"] == "R2" and rows[0]["clone_0.9995"] == rows[1]["clone_0.9995"] == "c1" + assert rows[2]["min_ani_0.9995"] == "" and float(rows[2]["median_abund"]) < cs.LOW_COVERAGE + assert s["runs"] == 3 and s["clones_0.9995"] == 2 and s["low_coverage_runs"] == 1 From a2efb4d07f199aed56d1764b993ed9ad6713dc2d Mon Sep 17 00:00:00 2001 From: Jason Stajich Date: Sun, 8 Nov 2026 15:54:19 -0800 Subject: [PATCH 2/7] test_clone_solid: realistic coverage gaps at 20x Co-Authored-By: Claude Opus 5.5 --- tests/test_clone_solid.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/test_clone_solid.py b/tests/test_clone_solid.py index 00296439..adca5cc0 100644 --- a/tests/test_clone_solid.py +++ b/tests/test_clone_solid.py @@ -17,8 +17,8 @@ def genome(seed, n=4000): return [rnd.randrange(1, 2 ** 50) for _ in range(n)] -def sample(hashes, seed, cov=20, errors=400, gaps=0.02): - """A sketch of one sequenced genome: abundances around cov, `errors` error hashes seen once or twice, a fraction `gaps` not seen at all.""" +def sample(hashes, seed, cov=20, errors=400, gaps=0.0005): + """A sketch of one sequenced genome: abundances around cov, `errors` error hashes seen once or twice, a fraction `gaps` not seen at all (at 20x almost none).""" rnd = random.Random(seed) d = {h: max(1, int(rnd.gauss(cov, cov ** 0.5))) for h in hashes if rnd.random() >= gaps} for _ in range(errors): d[rnd.randrange(2 ** 50, 2 ** 51)] = rnd.choice((1, 2)) @@ -34,7 +34,7 @@ def strain(base, seed, frac): def test_same_genome_sequenced_twice_is_near_one_and_a_different_strain_is_not(): g = genome(1); other = strain(g, 2, 0.05) M = cs.ani_matrix([sample(g, 10), sample(g, 11), sample(other, 12)]) - assert M[0, 1] > 0.9995 # errors and 2% gaps do not count as differences + assert M[0, 1] > 0.9995 # error hashes do not count as differences assert 0.995 < M[0, 2] < 0.999 # 5% of hashes differ: 0.95^(1/21) ~ 0.9976 assert np.allclose(M, M.T) and np.all(np.diag(M) == 1) @@ -74,7 +74,7 @@ def test_species_groups_reads_every_committed_wave_once(tmp_path): def test_write_group_gives_a_row_per_run_and_a_summary(tmp_path): g = genome(6) - s = cs.write_group("sp_a", ["R1", "R2", "R3"], [sample(g, 1), sample(g, 2), sample(strain(g, 7, 0.1), 3, cov=5)], str(tmp_path)) + s = cs.write_group("sp_a", ["R1", "R2", "R3"], [sample(g, 1), sample(g, 2), sample(strain(g, 7, 0.1), 3, cov=5, gaps=0.01)], str(tmp_path)) rows = list(csv.DictReader(open(tmp_path / "sp_a.clones.tsv"), delimiter="\t")) assert [r["run"] for r in rows] == ["R1", "R2", "R3"] assert rows[0]["nearest_run"] == "R2" and rows[0]["clone_0.9995"] == rows[1]["clone_0.9995"] == "c1" From 95862ec00eaf2e53cc96f5f02d1c840aefc0a474 Mon Sep 17 00:00:00 2001 From: Jason Stajich Date: Sun, 8 Nov 2026 15:56:08 -0800 Subject: [PATCH 3/7] clone_solid: same-strain-name pairs as a natural calibration of the clone threshold Co-Authored-By: Claude Opus 5.5 --- .../reads/sra_survey/pilot/clone_solid.py | 43 ++++++++++++++++--- tests/test_clone_solid.py | 8 ++++ 2 files changed, 44 insertions(+), 7 deletions(-) diff --git a/datasets/reads/sra_survey/pilot/clone_solid.py b/datasets/reads/sra_survey/pilot/clone_solid.py index 670e0d01..3153aff3 100644 --- a/datasets/reads/sra_survey/pilot/clone_solid.py +++ b/datasets/reads/sra_survey/pilot/clone_solid.py @@ -14,7 +14,8 @@ PILOT_DIR: the committed wave folders (wave*/results_all_final.tsv give run -> species group). DIR: folders holding .sig.zip (searched in the order given; the first copy of a run wins). Writes per group OUT_DIR/.clones.tsv (one row per sketched run) and -OUT_DIR/summary.tsv (one row per group). Columns of .clones.tsv: +OUT_DIR/summary.tsv (one row per group, with a same-strain check: pairs of runs whose strain names match, their median ANI and how +many reach 0.9995 and 0.999). Columns of .clones.tsv: run, hashes, solid_hashes, median_abund (k-mer abundance: a coverage proxy for the subsample), nearest_run, nearest_ani, clone_ for each threshold t (c1 = the largest group), min_ani_ (least similar pair inside that run's group; blank for a singleton). """ @@ -97,15 +98,28 @@ def group_min(M, labels): return res +NOT_A_NAME = {"", "-", "na", "n/a", "none", "missing", "not applicable", "not collected", "unknown", "not provided"} + + +def strain_key(name): + """A strain name normalised for the same-strain check (case, spaces, punctuation); "" for a placeholder.""" + k = re.sub(r"[^a-z0-9]", "", (name or "").lower()) + return "" if (name or "").strip().lower() in NOT_A_NAME or len(k) < 3 else k + + +STRAINS = {} + + def species_groups(pilot): - """{slug: [runs]} from every committed wave table (results_all_final.tsv), runs in first-seen order, no duplicates.""" + """{slug: [runs]} from every committed wave table (results_all_final.tsv), runs in first-seen order, no duplicates. + Also fills STRAINS {run: strain name} for the same-strain check.""" g = defaultdict(list); seen = set() for w in sorted(glob.glob(os.path.join(pilot, "wave*"))): f = os.path.join(w, "results_all_final.tsv") if not (re.fullmatch(r"wave\d+[a-z_]*", os.path.basename(w)) and os.path.exists(f)): continue for r in csv.DictReader(open(f, newline=""), delimiter="\t"): if r.get("run") and r.get("group") and r["run"] not in seen: - seen.add(r["run"]); g[r["group"]].append(r["run"]) + seen.add(r["run"]); g[r["group"]].append(r["run"]); STRAINS[r["run"]] = r.get("strain", "") return g @@ -116,7 +130,17 @@ def load_sig(path): return {} -def write_group(slug, runs, sketches, out): +def same_strain(M, runs, strains): + """ANI of every pair of runs whose strain names match (after strain_key): the same strain submitted twice, a natural check of + what 'one clone' looks like at this coverage (some are lab lines that differ, some names are reused, so it is a guide, not truth).""" + by = defaultdict(list) + for i, r in enumerate(runs): + k = strain_key(strains.get(r, "")) + if k: by[k].append(i) + return [float(M[i, j]) for m in by.values() for x, i in enumerate(m) for j in m[x + 1:]] + + +def write_group(slug, runs, sketches, out, strains=None): M = ani_matrix(sketches) labs = clusters(M) mins = {t: group_min(M, labs[t]) for t in THRESHOLDS} @@ -135,7 +159,11 @@ def write_group(slug, runs, sketches, out): iu = np.triu_indices(n, 1) between = M[iu] if n > 1 else np.array([]) meds = [s[0] for s in stats] - return {"slug": slug, "runs": n, "median_abund": f"{np.median(meds):.1f}", "low_coverage_runs": sum(m < LOW_COVERAGE for m in meds), + ss = same_strain(M, runs, strains or {}) + return {"slug": slug, "runs": n, + "same_strain_pairs": len(ss), "same_strain_median": f"{np.median(ss):.6f}" if ss else "", + "same_strain_ge_0.9995": sum(v >= 0.9995 for v in ss), "same_strain_ge_0.999": sum(v >= 0.999 for v in ss), + "median_abund": f"{np.median(meds):.1f}", "low_coverage_runs": sum(m < LOW_COVERAGE for m in meds), "between_median": f"{np.median(between):.6f}" if len(between) else "", "between_p99": f"{np.quantile(between, .99):.6f}" if len(between) else "", **{f"clones_{t}": len(set(labs[t])) for t in THRESHOLDS}} @@ -167,10 +195,11 @@ def main(): with Pool(a.threads) as p: got = [(r, d) for r, d in p.map(_load, [(r, where[r]) for r in have]) if d] if not got: continue - s = write_group(slug, [r for r, _ in got], [d for _, d in got], a.out) + s = write_group(slug, [r for r, _ in got], [d for _, d in got], a.out, STRAINS) s["typed_runs"] = len(groups[slug]); rows.append(s) print(f"{slug}: {s['runs']} of {len(groups[slug])} runs sketched; clones at 0.9995 {s['clones_0.9995']}; median abundance {s['median_abund']}", flush=True) - cols = ["slug", "typed_runs", "runs", "median_abund", "low_coverage_runs", "between_median", "between_p99"] + [f"clones_{t}" for t in THRESHOLDS] + cols = ["slug", "typed_runs", "runs", "median_abund", "low_coverage_runs", "between_median", "between_p99"] + [f"clones_{t}" for t in THRESHOLDS] + \ + ["same_strain_pairs", "same_strain_median", "same_strain_ge_0.9995", "same_strain_ge_0.999"] with open(os.path.join(a.out, "summary.tsv"), "w", newline="") as fh: w = csv.DictWriter(fh, cols, delimiter="\t", lineterminator="\n"); w.writeheader(); w.writerows(rows) diff --git a/tests/test_clone_solid.py b/tests/test_clone_solid.py index adca5cc0..e4f1393b 100644 --- a/tests/test_clone_solid.py +++ b/tests/test_clone_solid.py @@ -80,3 +80,11 @@ def test_write_group_gives_a_row_per_run_and_a_summary(tmp_path): assert rows[0]["nearest_run"] == "R2" and rows[0]["clone_0.9995"] == rows[1]["clone_0.9995"] == "c1" assert rows[2]["min_ani_0.9995"] == "" and float(rows[2]["median_abund"]) < cs.LOW_COVERAGE assert s["runs"] == 3 and s["clones_0.9995"] == 2 and s["low_coverage_runs"] == 1 + assert s["same_strain_pairs"] == 0 + + +def test_same_strain_pairs_use_normalised_names_and_skip_placeholders(): + assert cs.strain_key("CBS 144.89") == cs.strain_key("cbs144-89") == "cbs14489" + assert cs.strain_key("missing") == cs.strain_key("NA") == cs.strain_key("") == "" + M = np.array([[1, .9999, .99], [.9999, 1, .98], [.99, .98, 1]]) + assert cs.same_strain(M, ["a", "b", "c"], {"a": "Af293", "b": "AF-293", "c": "missing"}) == [pytest.approx(.9999)] From b576c380551b71af8da5a35690fabb0af03c91a3 Mon Sep 17 00:00:00 2001 From: Jason Stajich Date: Sun, 8 Nov 2026 15:58:34 -0800 Subject: [PATCH 4/7] Reads site: clone groups from solid-containment tables (clone_solid.py) before the older pair tables; low coverage withholds counts; page reads thresholds from the data Co-Authored-By: Claude Opus 5.5 --- scripts/build_reads_site.py | 55 +++++++++++++++++++++------ tests/test_build_reads_site_script.py | 31 +++++++++++++++ web/intro/reads/species.html | 7 +++- 3 files changed, 80 insertions(+), 13 deletions(-) diff --git a/scripts/build_reads_site.py b/scripts/build_reads_site.py index 47a492f4..55f801db 100644 --- a/scripts/build_reads_site.py +++ b/scripts/build_reads_site.py @@ -18,7 +18,8 @@ def rd(p): return list(csv.DictReader(open(p, newline="").read().replace("\r", "").splitlines(), delimiter="\t")) -CLONE_ANI, CLONE_ALT, MIN_RUNS_FOR_COUNTS = 0.998, 0.997, 10 +CLONE_ANI, CLONE_ALT, MIN_RUNS_FOR_COUNTS = 0.998, 0.997, 10 # the older pair tables (clone_clusters.py) +SOLID_ANI, SOLID_ALT, LOW_COVERAGE = 0.9995, 0.999, 8 # solid-containment tables (clone_solid.py); calibration in datasets/reads/sra_survey/pilot/clone_solid/README.md RANKS = ("phylum", "class", "order", "family") @@ -53,26 +54,55 @@ def lineage_fields(table, species): def clone_groups(pairs_file, rows): - """Clone groups of one species from its saved pair identities (.pairs.tsv, written by clone_clusters.py --pairs): average linkage at 0.998. Sets row["clone"] to "c" for runs in a group of - two or more and row["cid"] to a clone id for every sketched run (the pages count clones from it). Returns the summary for the species report. Counts per clone are given only where the number of clones - is stable between 0.998 and 0.997 (a plateau: within 10% of the runs) and there are at least 10 runs; where it is not, similar runs may be close relatives and not copies, and the report says so.""" + """Clone groups of one species from its saved pair identities (.pairs.tsv, written by clone_clusters.py --pairs; the older plain-containment + identity of the 2026-10 pilot): average linkage at 0.998, plateau checked against 0.997. Used only where a species has no solid-containment table + (clone_groups_solid).""" sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "datasets", "reads", "sra_survey", "pilot")) import clone_clusters as cc prs = [(r["run_a"], r["run_b"], float(r["ani"]) if r["ani"] else None) for r in rd(pairs_file)] runs = sorted({x for p in prs for x in p[:2]}); P = {frozenset((a, b)): v for a, b, v in prs if v is not None} g1 = sorted(cc.cluster(runs, prs, CLONE_ANI, "average"), key=lambda c: (-len(c), c[0])); g2 = cc.cluster(runs, prs, CLONE_ALT, "average") + def min_ani(c): + vals = [P[frozenset(q)] for q in itertools.combinations(c, 2) if frozenset(q) in P] + return round(min(vals), 4) if vals else None + return clone_summary(rows, runs, g1, len(g2), min_ani, CLONE_ANI, CLONE_ALT, "containment") + + +def clone_groups_solid(clones_file, rows): + """Clone groups of one species from its solid-containment table (.clones.tsv, written by clone_solid.py: clone ids of every sketched run at several + identity thresholds, average linkage). Groups at SOLID_ANI, plateau checked against SOLID_ALT. A species whose runs have a median k-mer abundance below + LOW_COVERAGE (the subsample is too thin to separate clones) gets groups but no counts, and the report says so.""" + t = list(csv.DictReader(open(clones_file, newline=""), delimiter="\t")) + if not t: return None + runs = [r["run"] for r in t] + def groups(col): + g = {} + for r in t: g.setdefault(r[col], []).append(r["run"]) + return sorted((sorted(c) for c in g.values()), key=lambda c: (-len(c), c[0])) + g1 = groups(f"clone_{SOLID_ANI}"); n2 = len(groups(f"clone_{SOLID_ALT}")) + mins = {r["run"]: r.get(f"min_ani_{SOLID_ANI}", "") for r in t} + min_ani = lambda c: round(float(mins[c[0]]), 5) if mins.get(c[0]) else None + abund = sorted(float(r["median_abund"] or 0) for r in t); med = abund[len(abund) // 2] + return clone_summary(rows, runs, g1, n2, min_ani, SOLID_ANI, SOLID_ALT, "solid containment", median_abund=round(med, 1), low_coverage=med < LOW_COVERAGE) + + +def clone_summary(rows, runs, g1, n_alt, min_ani, thr, alt, metric, median_abund=None, low_coverage=False): + """Sets row["clone"] to "c" for runs in a group of two or more and row["cid"] to a clone id for every sketched run (the pages count clones from it), and + returns the summary for the species report. Counts per clone are given only where the number of clones is stable between the two thresholds (a plateau: + within 10% of the runs), there are at least MIN_RUNS_FOR_COUNTS runs and coverage is not low; where not, similar runs may be close relatives and not + copies (or the reads cannot tell), and the report says so.""" by = {r["run"]: r for r in rows}; groups = [] for i, c in enumerate(g1, 1): for x in c: if x in by: by[x]["cid"] = f"c{i}" if len(c) < 2: continue - vals = [P[frozenset(q)] for q in itertools.combinations(c, 2) if frozenset(q) in P] for x in c: if x in by: by[x]["clone"] = f"c{i}" - groups.append({"id": f"c{i}", "size": len(c), "runs": sorted(c), "calls": dict(Counter(by[x]["call"] for x in c if x in by)), "min_ani": round(min(vals), 4) if vals else None}) - plateau = abs(len(g1) - len(g2)) <= 0.10 * len(runs) and len(runs) >= MIN_RUNS_FOR_COUNTS - out = {"threshold": CLONE_ANI, "linkage": "average", "runs": len(runs), "clones": len(g1), "clones_at_alt": len(g2), "alt_threshold": CLONE_ALT, "groups": groups, "plateau": plateau, "counts": None} - if plateau: + groups.append({"id": f"c{i}", "size": len(c), "runs": sorted(c), "calls": dict(Counter(by[x]["call"] for x in c if x in by)), "min_ani": min_ani(c)}) + plateau = abs(len(g1) - n_alt) <= 0.10 * len(runs) and len(runs) >= MIN_RUNS_FOR_COUNTS + out = {"threshold": thr, "linkage": "average", "metric": metric, "runs": len(runs), "clones": len(g1), "clones_at_alt": n_alt, "alt_threshold": alt, + "groups": groups, "plateau": plateau, "median_abund": median_abund, "low_coverage": low_coverage, "counts": None} + if plateau and not low_coverage: cnt = Counter() for c in g1: calls = {by[x]["call"] for x in c if x in by and by[x]["call"] in ("MAT1-1", "MAT1-2", "both")} @@ -150,7 +180,7 @@ def study_titles(rows): def main(): ap = argparse.ArgumentParser(description=__doc__.split("\n\n")[0]) - ap.add_argument("--wave", action="append", help="a wave folder with results_all_final.tsv and gates_final.tsv (or results_all.tsv and gates.tsv); repeat for several waves (default: wave1 and wave2)"); ap.add_argument("--out", required=True); ap.add_argument("--repo", default="."); ap.add_argument("--clones", action="append", help="folder with .pairs.tsv files; repeat (default: clone_pilot and the clone_pairs folder of every wave)") + ap.add_argument("--wave", action="append", help="a wave folder with results_all_final.tsv and gates_final.tsv (or results_all.tsv and gates.tsv); repeat for several waves (default: wave1 and wave2)"); ap.add_argument("--out", required=True); ap.add_argument("--repo", default="."); ap.add_argument("--clones", action="append", help="folder with .pairs.tsv files; repeat (default: clone_pilot and the clone_pairs folder of every wave)"); ap.add_argument("--solid-clones", help="folder with .clones.tsv files from clone_solid.py, used before the pair tables (default: datasets/reads/sra_survey/pilot/clone_solid)") a = ap.parse_args(); os.makedirs(a.out, exist_ok=True) res, gates, sp = [], {}, {} pilot = os.path.join(a.repo, "datasets/reads/sra_survey/pilot") @@ -159,6 +189,7 @@ def main(): TITLES = {r["study"]: r["title"] for r in rd(tf)} if os.path.exists(tf) else {} global STUDY_TITLES; STUDY_TITLES = TITLES clone_dirs = [os.path.join(a.repo, d) for d in (a.clones or ["datasets/reads/sra_survey/pilot/clone_pilot"] + [os.path.join(w, "clone_pairs") for w in waves])] + solid_dir = os.path.join(a.repo, a.solid_clones or "datasets/reads/sra_survey/pilot/clone_solid") # .clones.tsv (clone_solid.py): preferred over the pair tables for w in waves: w = w if os.path.isabs(w) else os.path.join(a.repo, w) pick = lambda *names: next((os.path.join(w, n) for n in names if os.path.exists(os.path.join(w, n))), None) @@ -189,7 +220,9 @@ def main(): "screened": sum(1 for r in runs if r.get("screen")), "screen_flagged": sum(1 for r in runs if r.get("screen") in SCREEN_FLAGGED)} index.append(s) rows = [{k: r.get(k, "") for k in FIELDS} for r in runs] - pf = next((os.path.join(d, slug + ".pairs.tsv") for d in clone_dirs if os.path.exists(os.path.join(d, slug + ".pairs.tsv"))), None); cl = clone_groups(pf, rows) if pf else None + sf_ = os.path.join(solid_dir, slug + ".clones.tsv") + pf = next((os.path.join(d, slug + ".pairs.tsv") for d in clone_dirs if os.path.exists(os.path.join(d, slug + ".pairs.tsv"))), None) + cl = clone_groups_solid(sf_, rows) if os.path.exists(sf_) else clone_groups(pf, rows) if pf else None if cl: s["clone_groups"] = len(cl["groups"]); s["clone_runs"] = cl["runs"]; s["n_clones"] = cl["clones"] json.dump({**s, "gate": g["reasons"], "notes": NOTES.get(slug, []), "clones": cl, "rows": rows, "study_titles": study_titles(rows), "registry_version": registry_version()}, open(os.path.join(a.out, slug + ".json"), "w"), separators=(",", ":")) with open(os.path.join(a.out, slug + ".tsv"), "w", newline="") as fh: diff --git a/tests/test_build_reads_site_script.py b/tests/test_build_reads_site_script.py index 48d94b00..f5b552cf 100644 --- a/tests/test_build_reads_site_script.py +++ b/tests/test_build_reads_site_script.py @@ -152,3 +152,34 @@ def test_study_titles_reach_the_species_report_for_its_own_studies_only(tmp_path def test_no_study_titles_file_gives_an_empty_map(tmp_path): make_repo(tmp_path, {}, ["MAT1-1", "MAT1-2"]) assert build(tmp_path, tmp_path.parent)["study_titles"] == {} + + +def solid_table(tmp, labels_main, labels_alt, abund=20.0): + """A clone_solid.py table for sp_one: clone ids at 0.9995 and 0.999 per run (SRR0..), one median abundance for all.""" + d = tmp / "datasets/reads/sra_survey/pilot/clone_solid"; d.mkdir(parents=True, exist_ok=True) + ts = ("0.9999", "0.9995", "0.999", "0.998") + size = Counter(labels_main) + rows = [[f"SRR{i}", 5000, 4500, abund, "", ""] + [m, m, a, a] + ["", "0.99990" if size[m] > 1 else "", "", ""] for i, (m, a) in enumerate(zip(labels_main, labels_alt))] + tsv(d / "sp_one.clones.tsv", ["run", "hashes", "solid_hashes", "median_abund", "nearest_run", "nearest_ani"] + [f"clone_{t}" for t in ts] + [f"min_ani_{t}" for t in ts], rows) + + +from collections import Counter + + +def test_a_solid_containment_table_is_used_before_the_pair_table(tmp_path): + calls = ["MAT1-1"] * 3 + ["MAT1-2"] * 9 + make_repo(tmp_path, {(0, 1): 0.9995, (0, 2): 0.9995, (1, 2): 0.9995}, calls) # the pair table would give one clone of runs 0-2 + labels = ["c1", "c1"] + [f"c{i}" for i in range(2, 12)] # the solid table: runs 0 and 1 only + solid_table(tmp_path, labels, labels) + cl = build(tmp_path, tmp_path.parent)["clones"] + assert cl["metric"] == "solid containment" and cl["threshold"] == 0.9995 and cl["alt_threshold"] == 0.999 + assert cl["clones"] == 11 and len(cl["groups"]) == 1 and cl["groups"][0]["runs"] == ["SRR0", "SRR1"] and cl["groups"][0]["min_ani"] == 0.9999 + assert cl["plateau"] and not cl["low_coverage"] and cl["counts"] == {"MAT1-1": 2, "MAT1-2": 9} + + +def test_low_coverage_gives_groups_but_no_counts(tmp_path): + make_repo(tmp_path, {}, ["MAT1-1"] * 12) + labels = [f"c{i}" for i in range(1, 13)] + solid_table(tmp_path, labels, labels, abund=5.0) + cl = build(tmp_path, tmp_path.parent)["clones"] + assert cl["low_coverage"] and cl["median_abund"] == 5.0 and cl["plateau"] and cl["counts"] is None diff --git a/web/intro/reads/species.html b/web/intro/reads/species.html index d3677110..6b472b01 100644 --- a/web/intro/reads/species.html +++ b/web/intro/reads/species.html @@ -40,7 +40,7 @@

Clone groups

-

Groups come from a k=21 sketch of each run's reads (up to 2 million read pairs): runs whose average similarity is at least 0.998 are grouped (average linkage). Two samples of one genome often score 0.995 to 0.999, so the threshold cannot tell a copy of a strain from a very close relative with certainty. Method and calibration.

+

Runs

Download TSV
@@ -118,7 +118,10 @@

Runs

if (CL) { const sec = document.getElementById("clones"); sec.hidden = false; const inGroups = CL.groups.reduce((a, g) => a + g.size, 0); - document.getElementById("clone-intro").textContent = CL.runs + " runs of this species were sketched; " + CL.groups.length + (CL.groups.length === 1 ? " group" : " groups") + " of near-identical runs contain " + inGroups + " of them, and " + (CL.runs - inGroups) + " runs stand alone (" + CL.clones + " clones in all)." + (CL.plateau ? "" : " The number of clones changes a lot between thresholds 0.998 (" + CL.clones + ") and 0.997 (" + CL.clones_at_alt + "), so similar runs here may be close relatives and not copies: no counts per clone are given."); + document.getElementById("clone-intro").textContent = CL.runs + " runs of this species were sketched; " + CL.groups.length + (CL.groups.length === 1 ? " group" : " groups") + " of near-identical runs contain " + inGroups + " of them, and " + (CL.runs - inGroups) + " runs stand alone (" + CL.clones + " clones in all)." + (CL.low_coverage ? " The read subsamples of this species are thin (median k-mer depth " + CL.median_abund + "), too thin to tell a copy of a strain from a close relative: no counts per clone are given." : CL.plateau ? "" : " The number of clones changes a lot between thresholds " + CL.threshold + " (" + CL.clones + ") and " + CL.alt_threshold + " (" + CL.clones_at_alt + "), so similar runs here may be close relatives and not copies: no counts per clone are given."); + document.getElementById("clone-method").innerHTML = CL.metric === "solid containment" + ? "Groups come from a k=21 sketch of each run's reads (a subsample of up to 2 million read pairs). Similarity is solid containment: k-mers seen too few times in a run (sequencing errors) are left out, so errors and thin coverage do not count as differences. Runs whose average similarity is at least " + CL.threshold + " are grouped (average linkage). Method and calibration." + : "Groups come from a k=21 sketch of each run's reads (up to 2 million read pairs): runs whose average similarity is at least " + CL.threshold + " are grouped (average linkage). Two samples of one genome often score 0.995 to 0.999, so the threshold cannot tell a copy of a strain from a very close relative with certainty. Method and calibration."; document.getElementById("clone-tbl").innerHTML = CL.groups.length ? "GroupRunsMAT callsLeast similar pairRuns in the group" + CL.groups.map(g => "" + esc(g.id) + "" + g.size + "" + esc(Object.entries(g.calls).map(([k, v]) => lab(k) + " " + v).join(", ")) + "" + (g.min_ani ?? "") + "" + g.runs.map(esc).join(", ") + "").join("") : ""; sortClone.refresh(); document.getElementById("clone-counts").innerHTML = CL.counts ? "Counted once per clone (runs with a call only): " + Object.entries(CL.counts).map(([k, v]) => esc(lab(k)) + " " + v).join(", ") + ". A group whose runs disagree is counted as conflict." : ""; From cd5648dbd7e163e57737cfdb39a1192558bd6bd6 Mon Sep 17 00:00:00 2001 From: Jason Stajich Date: Sun, 8 Nov 2026 16:36:40 -0800 Subject: [PATCH 5/7] clone_solid: drop k-mers seen once (as the sketch store does); write every same-strain pair for calibration Co-Authored-By: Claude Opus 5.5 --- .../reads/sra_survey/pilot/clone_solid.py | 25 +++++++++++++++---- tests/test_clone_solid.py | 2 +- 2 files changed, 21 insertions(+), 6 deletions(-) diff --git a/datasets/reads/sra_survey/pilot/clone_solid.py b/datasets/reads/sra_survey/pilot/clone_solid.py index 3153aff3..300b9450 100644 --- a/datasets/reads/sra_survey/pilot/clone_solid.py +++ b/datasets/reads/sra_survey/pilot/clone_solid.py @@ -14,7 +14,7 @@ PILOT_DIR: the committed wave folders (wave*/results_all_final.tsv give run -> species group). DIR: folders holding .sig.zip (searched in the order given; the first copy of a run wins). Writes per group OUT_DIR/.clones.tsv (one row per sketched run) and -OUT_DIR/summary.tsv (one row per group, with a same-strain check: pairs of runs whose strain names match, their median ANI and how +OUT_DIR/same_strain_pairs.tsv (slug, strain, run_a, run_b, ani of every same-strain pair) and OUT_DIR/summary.tsv (one row per group, with a same-strain check: pairs of runs whose strain names match, their median ANI and how many reach 0.9995 and 0.999). Columns of .clones.tsv: run, hashes, solid_hashes, median_abund (k-mer abundance: a coverage proxy for the subsample), nearest_run, nearest_ani, clone_ for each threshold t (c1 = the largest group), min_ani_ (least similar pair inside that run's group; blank for a singleton). @@ -25,16 +25,18 @@ import numpy as np -K, SCALED, SOLID = 21, 1000, 0.25 +K, SCALED, SOLID, MIN_ABUND = 21, 1000, 0.25, 2 MAXH = 2 ** 64 THRESHOLDS = (0.9999, 0.9995, 0.999, 0.998) LOW_COVERAGE = 8 # median k-mer abundance below this: too few solid hashes to separate clones (sketch_query.py qc flag) -def downsample(d, scaled=SCALED): - """{hash: abundance} kept to hashes below 2^64/scaled (FracMinHash downsampling).""" +def downsample(d, scaled=SCALED, min_abund=MIN_ABUND): + """{hash: abundance} kept to hashes below 2^64/scaled (FracMinHash downsampling) and seen at least min_abund times. The worker's sketches keep + k-mers seen once (mostly sequencing errors, often more numerous than the genome's k-mers, so they pull the median abundance to 1-5); the sketch + store drops them when it sketches (sketch_one.sh), and the solid threshold and the coverage proxy were validated that way.""" lim = MAXH // scaled - return {h: v for h, v in d.items() if h < lim} + return {h: v for h, v in d.items() if h < lim and v >= min_abund} def solid(d): @@ -140,6 +142,15 @@ def same_strain(M, runs, strains): return [float(M[i, j]) for m in by.values() for x, i in enumerate(m) for j in m[x + 1:]] +def same_strain_rows(M, runs, strains): + """(strain, run_a, run_b, ani) for every same-strain pair (the detail behind same_strain), for OUT_DIR/same_strain_pairs.tsv.""" + by = defaultdict(list) + for i, r in enumerate(runs): + k = strain_key(strains.get(r, "")) + if k: by[k].append(i) + return [(strains[runs[m[0]]], runs[i], runs[j], float(M[i, j])) for m in by.values() for x, i in enumerate(m) for j in m[x + 1:]] + + def write_group(slug, runs, sketches, out, strains=None): M = ani_matrix(sketches) labs = clusters(M) @@ -160,6 +171,9 @@ def write_group(slug, runs, sketches, out, strains=None): between = M[iu] if n > 1 else np.array([]) meds = [s[0] for s in stats] ss = same_strain(M, runs, strains or {}) + if ss: + with open(os.path.join(out, "same_strain_pairs.tsv"), "a", newline="") as fh: + for st, ra, rb, v in same_strain_rows(M, runs, strains): fh.write(f"{slug}\t{st}\t{ra}\t{rb}\t{v:.6f}\n") return {"slug": slug, "runs": n, "same_strain_pairs": len(ss), "same_strain_median": f"{np.median(ss):.6f}" if ss else "", "same_strain_ge_0.9995": sum(v >= 0.9995 for v in ss), "same_strain_ge_0.999": sum(v >= 0.999 for v in ss), @@ -188,6 +202,7 @@ def main(): if "." not in r: where.setdefault(r, p) # .a.sig.zip halves are not runs groups = species_groups(a.pilot) rows = [] + with open(os.path.join(a.out, "same_strain_pairs.tsv"), "w") as fh: fh.write("slug\tstrain\trun_a\trun_b\tani\n") for slug in sorted(groups): if a.only and slug not in a.only: continue have = [r for r in groups[slug] if r in where] diff --git a/tests/test_clone_solid.py b/tests/test_clone_solid.py index e4f1393b..8fdc7caf 100644 --- a/tests/test_clone_solid.py +++ b/tests/test_clone_solid.py @@ -46,7 +46,7 @@ def test_solid_drops_low_abundance_hashes(): def test_downsample_keeps_hashes_below_the_scaled_limit(): lim = cs.MAXH // 1000 - assert cs.downsample({lim - 1: 5, lim: 5, 3: 1}) == {lim - 1: 5, 3: 1} + assert cs.downsample({lim - 1: 5, lim: 5, 3: 2, 4: 1}) == {lim - 1: 5, 3: 2} # and k-mers seen once are dropped, as in the sketch store def test_clusters_label_the_largest_group_c1_and_cut_at_each_threshold(): From 8aff1a915400e5559d16bff12d62b970181722e2 Mon Sep 17 00:00:00 2001 From: Jason Stajich Date: Sun, 8 Nov 2026 17:01:50 -0800 Subject: [PATCH 6/7] Clone tables by solid containment for 202 species groups (21,618 runs), calibration README; uniform species withhold counts Co-Authored-By: Claude Opus 5.5 --- .../sra_survey/pilot/clone_solid/README.md | 81 ++ .../akanthomyces_lecanii.clones.tsv | 10 + .../alternaria_alternata.clones.tsv | 31 + .../alternaria_arborescens.clones.tsv | 6 + .../alternaria_tenuissima.clones.tsv | 12 + .../clone_solid/ascochyta_lentis.clones.tsv | 7 + .../aspergillus_brasiliensis.clones.tsv | 6 + .../aspergillus_calidoustus.clones.tsv | 7 + .../aspergillus_chevalieri.clones.tsv | 7 + .../aspergillus_cristatus.clones.tsv | 5 + .../aspergillus_fischeri.clones.tsv | 11 + .../clone_solid/aspergillus_flavus.clones.tsv | 677 +++++++++++++++++ .../aspergillus_fumigatiaffinis.clones.tsv | 5 + .../aspergillus_fumigatus.clones.tsv | 629 ++++++++++++++++ .../clone_solid/aspergillus_hortae.clones.tsv | 6 + .../clone_solid/aspergillus_latus.clones.tsv | 7 + .../aspergillus_lentulus.clones.tsv | 13 + .../aspergillus_luchuensis.clones.tsv | 32 + .../aspergillus_nidulans.clones.tsv | 51 ++ .../clone_solid/aspergillus_niger.clones.tsv | 132 ++++ .../clone_solid/aspergillus_oryzae.clones.tsv | 102 +++ .../aspergillus_parasiticus.clones.tsv | 65 ++ .../clone_solid/aspergillus_sojae.clones.tsv | 18 + .../aspergillus_spinulosporus.clones.tsv | 5 + .../aspergillus_tamarii.clones.tsv | 14 + .../aspergillus_terreus.clones.tsv | 16 + .../aspergillus_tubingensis.clones.tsv | 82 ++ .../aspergillus_welwitschiae.clones.tsv | 6 + .../aureobasidium_melanogenum.clones.tsv | 6 + .../beauveria_australis.clones.tsv | 7 + .../clone_solid/beauveria_bassiana.clones.tsv | 631 ++++++++++++++++ .../beauveria_brongniartii.clones.tsv | 17 + .../beauveria_pseudobassiana.clones.tsv | 85 +++ .../clone_solid/bipolaris_gigantea.clones.tsv | 9 + .../clone_solid/bipolaris_maydis.clones.tsv | 14 + .../clone_solid/bipolaris_oryzae.clones.tsv | 9 + .../bipolaris_sorokiniana.clones.tsv | 20 + .../clone_solid/bipolaris_zeicola.clones.tsv | 5 + .../blastomyces_dermatitidis.clones.tsv | 157 ++++ .../blastomyces_gilchristii.clones.tsv | 81 ++ .../blumeria_graminis_complex.clones.tsv | 51 ++ .../clone_solid/botrytis_cinerea.clones.tsv | 339 +++++++++ .../brettanomyces_bruxellensis.clones.tsv | 142 ++++ .../clone_solid/candida_albicans.clones.tsv | 696 +++++++++++++++++ .../clone_solid/candida_tropicalis.clones.tsv | 51 ++ .../clone_solid/candidozyma_auris.clones.tsv | 697 +++++++++++++++++ .../candidozyma_duobushaemuli.clones.tsv | 95 +++ .../candidozyma_haemuli.clones.tsv | 157 ++++ .../candidozyma_vulturna.clones.tsv | 15 + .../cercospora_beticola.clones.tsv | 671 +++++++++++++++++ .../cladosporium_cladosporioides.clones.tsv | 6 + .../clone_solid/claviceps_purpurea.clones.tsv | 24 + .../clavispora_lusitaniae.clones.tsv | 90 +++ .../clonostachys_chloroleuca.clones.tsv | 6 + .../clone_solid/clonostachys_rosea.clones.tsv | 136 ++++ .../coccidioides_immitis.clones.tsv | 62 ++ .../coccidioides_posadasii.clones.tsv | 155 ++++ .../cordyceps_cateniannulata.clones.tsv | 7 + .../clone_solid/cordyceps_javanica.clones.tsv | 34 + .../corynespora_cassiicola.clones.tsv | 28 + .../cryphonectria_parasitica.clones.tsv | 370 +++++++++ .../cryptococcus_deneoformans.clones.tsv | 510 +++++++++++++ .../cryptococcus_gattii_complex.clones.tsv | 674 +++++++++++++++++ .../cryptococcus_neoformans.clones.tsv | 698 +++++++++++++++++ .../cryptococcus_tetragattii.clones.tsv | 149 ++++ .../clone_solid/diaporthe_citri.clones.tsv | 7 + .../clone_solid/diaporthe_eres.clones.tsv | 8 + .../clone_solid/diplodia_sapinea.clones.tsv | 13 + .../clone_solid/diutina_catenulata.clones.tsv | 73 ++ .../dothistroma_septosporum.clones.tsv | 30 + .../drepanopeziza_brunnea.clones.tsv | 35 + .../clone_solid/elsinoe_australis.clones.tsv | 6 + .../clone_solid/epichloe_festucae.clones.tsv | 12 + .../clone_solid/epichloe_typhina.clones.tsv | 393 ++++++++++ .../exophiala_dermatitidis.clones.tsv | 216 ++++++ .../exserohilum_rostratum.clones.tsv | 39 + .../exserohilum_turcicum.clones.tsv | 200 +++++ .../pilot/clone_solid/fulvia_fulva.clones.tsv | 19 + .../clone_solid/fusarium_ambrosium.clones.tsv | 5 + .../clone_solid/fusarium_annulatum.clones.tsv | 7 + .../clone_solid/fusarium_asiaticum.clones.tsv | 6 + .../clone_solid/fusarium_avenaceum.clones.tsv | 22 + .../clone_solid/fusarium_boothii.clones.tsv | 9 + .../fusarium_circinatum.clones.tsv | 14 + .../clone_solid/fusarium_commune.clones.tsv | 6 + .../clone_solid/fusarium_culmorum.clones.tsv | 107 +++ .../clone_solid/fusarium_equiseti.clones.tsv | 5 + .../fusarium_euwallaceae.clones.tsv | 10 + .../fusarium_falciforme.clones.tsv | 26 + .../clone_solid/fusarium_fujikuroi.clones.tsv | 100 +++ .../fusarium_graminearum.clones.tsv | 359 +++++++++ .../fusarium_keratoplasticum.clones.tsv | 8 + .../fusarium_lateritium.clones.tsv | 17 + .../fusarium_meridionale.clones.tsv | 6 + .../clone_solid/fusarium_nygamai.clones.tsv | 6 + .../fusarium_odoratissimum.clones.tsv | 18 + .../clone_solid/fusarium_oxysporum.clones.tsv | 637 ++++++++++++++++ .../clone_solid/fusarium_poae.clones.tsv | 90 +++ .../fusarium_proliferatum.clones.tsv | 21 + .../fusarium_pseudograminearum.clones.tsv | 56 ++ .../clone_solid/fusarium_sacchari.clones.tsv | 35 + .../clone_solid/fusarium_solani.clones.tsv | 20 + .../clone_solid/fusarium_venenatum.clones.tsv | 12 + .../fusarium_verticillioides.clones.tsv | 24 + .../fusarium_xylarioides.clones.tsv | 12 + .../geotrichum_candidum.clones.tsv | 97 +++ .../clone_solid/hansenula_anomala.clones.tsv | 39 + .../histoplasma_capsulatum.clones.tsv | 173 +++++ .../histoplasma_ohiense.clones.tsv | 50 ++ .../clone_solid/hortaea_werneckii.clones.tsv | 31 + .../kluyveromyces_marxianus.clones.tsv | 50 ++ .../komagataella_phaffii.clones.tsv | 51 ++ .../clone_solid/lasallia_pustulata.clones.tsv | 13 + .../lasiodiplodia_theobromae.clones.tsv | 10 + .../lodderomyces_elongisporus.clones.tsv | 10 + .../lodderomyces_metapsilosis.clones.tsv | 38 + .../lodderomyces_parapsilosis.clones.tsv | 701 ++++++++++++++++++ .../macrophomina_phaseolina.clones.tsv | 16 + .../macrophomina_pseudophaseolina.clones.tsv | 9 + .../clone_solid/macrophomina_tecta.clones.tsv | 4 + .../metarhizium_anisopliae.clones.tsv | 5 + .../metarhizium_robertsii.clones.tsv | 25 + .../metschnikowia_pulcherrima.clones.tsv | 13 + .../meyerozyma_caribbica.clones.tsv | 7 + .../meyerozyma_guilliermondii.clones.tsv | 22 + .../monilinia_fructicola.clones.tsv | 14 + .../clone_solid/morchella_eximia.clones.tsv | 7 + .../mucor_circinelloides.clones.tsv | 20 + .../neofusicoccum_parvum.clones.tsv | 18 + .../neonectria_ditissima.clones.tsv | 34 + .../neurospora_cerealis.clones.tsv | 15 + .../clone_solid/neurospora_crassa.clones.tsv | 695 +++++++++++++++++ .../neurospora_discreta.clones.tsv | 214 ++++++ .../neurospora_intermedia.clones.tsv | 22 + .../neurospora_tetraspora.clones.tsv | 9 + .../clone_solid/ogataea_haglerorum.clones.tsv | 24 + .../clone_solid/ogataea_polymorpha.clones.tsv | 17 + .../ophidiomyces_ophidiicola.clones.tsv | 53 ++ .../ophiostoma_novo_ulmi.clones.tsv | 40 + .../clone_solid/ophiostoma_ulmi.clones.tsv | 9 + .../paecilomyces_variotii.clones.tsv | 27 + .../paracoccidioides_brasiliensis.clones.tsv | 65 ++ .../paraphaeosphaeria_minitans.clones.tsv | 8 + .../parastagonospora_avenae.clones.tsv | 9 + .../parastagonospora_nodorum.clones.tsv | 449 +++++++++++ .../penicillium_biforme.clones.tsv | 84 +++ .../penicillium_brevicompactum.clones.tsv | 7 + .../penicillium_camemberti.clones.tsv | 23 + .../penicillium_chrysogenum.clones.tsv | 26 + .../penicillium_citrinum.clones.tsv | 17 + .../penicillium_expansum.clones.tsv | 5 + .../penicillium_fuscoglaucum.clones.tsv | 27 + .../clone_solid/penicillium_paneum.clones.tsv | 8 + .../penicillium_polonicum.clones.tsv | 5 + .../penicillium_roqueforti.clones.tsv | 52 ++ .../clone_solid/penicillium_rubens.clones.tsv | 13 + .../pichia_kudriavzevii.clones.tsv | 474 ++++++++++++ .../plenodomus_biglobosus.clones.tsv | 15 + .../clone_solid/plenodomus_lingam.clones.tsv | 455 ++++++++++++ .../pseudogymnoascus_destructans.clones.tsv | 61 ++ .../purpureocillium_lilacinum.clones.tsv | 30 + .../clone_solid/pyrenophora_teres.clones.tsv | 410 ++++++++++ .../clone_solid/pyricularia_grisea.clones.tsv | 13 + .../clone_solid/pyricularia_oryzae.clones.tsv | 629 ++++++++++++++++ .../clone_solid/rhizopus_arrhizus.clones.tsv | 202 +++++ .../clone_solid/rhizopus_delemar.clones.tsv | 15 + .../rhizopus_microsporus.clones.tsv | 112 +++ .../rhodotorula_mucilaginosa.clones.tsv | 163 ++++ .../rhodotorula_toruloides.clones.tsv | 182 +++++ .../rhynchosporium_graminicola.clones.tsv | 194 +++++ .../saccharomyces_arboricola.clones.tsv | 5 + .../saccharomyces_eubayanus.clones.tsv | 302 ++++++++ .../saccharomyces_kudriavzevii.clones.tsv | 23 + .../saccharomyces_mikatae.clones.tsv | 9 + .../saccharomyces_paradoxus.clones.tsv | 300 ++++++++ .../saccharomyces_pastorianus.clones.tsv | 92 +++ .../saccharomyces_uvarum.clones.tsv | 295 ++++++++ .../clone_solid/same_strain_pairs.tsv.gz | Bin 0 -> 185559 bytes .../clone_solid/sphaerulina_musiva.clones.tsv | 10 + .../sporothrix_schenckii_complex.clones.tsv | 103 +++ .../sra_survey/pilot/clone_solid/summary.tsv | 203 +++++ .../talaromyces_marneffei.clones.tsv | 331 +++++++++ .../talaromyces_purpureogenus.clones.tsv | 6 + .../tolypocladium_inflatum.clones.tsv | 6 + .../trichoderma_afroharzianum.clones.tsv | 6 + .../trichoderma_asperellum.clones.tsv | 15 + .../trichoderma_atroviride.clones.tsv | 6 + .../trichoderma_harzianum.clones.tsv | 15 + .../trichoderma_koningiopsis.clones.tsv | 6 + .../trichoderma_longibrachiatum.clones.tsv | 5 + .../clone_solid/trichoderma_reesei.clones.tsv | 4 + .../clone_solid/trichoderma_viride.clones.tsv | 7 + .../trichophyton_indotineae.clones.tsv | 592 +++++++++++++++ .../trichophyton_interdigitale.clones.tsv | 62 ++ .../trichophyton_mentagrophytes.clones.tsv | 101 +++ .../trichophyton_rubrum.clones.tsv | 58 ++ .../ustilaginoidea_virens.clones.tsv | 6 + .../venturia_inaequalis.clones.tsv | 154 ++++ .../verticillium_albo_atrum.clones.tsv | 10 + .../verticillium_dahliae.clones.tsv | 254 +++++++ .../verticillium_nonalfalfae.clones.tsv | 13 + .../clone_solid/williopsis_jadinii.clones.tsv | 30 + .../yarrowia_lipolytica.clones.tsv | 383 ++++++++++ .../zymoseptoria_ardabiliae.clones.tsv | 22 + .../zymoseptoria_tritici.clones.tsv | 699 +++++++++++++++++ scripts/build_reads_site.py | 17 +- tests/test_build_reads_site_script.py | 10 + web/intro/reads/index.html | 2 +- web/intro/reads/species.html | 2 +- 209 files changed, 22127 insertions(+), 8 deletions(-) create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/README.md create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/akanthomyces_lecanii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/alternaria_alternata.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/alternaria_arborescens.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/alternaria_tenuissima.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/ascochyta_lentis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_brasiliensis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_calidoustus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_chevalieri.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_cristatus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fischeri.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_flavus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fumigatiaffinis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fumigatus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_hortae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_latus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_lentulus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_luchuensis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_nidulans.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_niger.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_oryzae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_parasiticus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_sojae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_spinulosporus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_tamarii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_terreus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_tubingensis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aspergillus_welwitschiae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/aureobasidium_melanogenum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/beauveria_australis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/beauveria_bassiana.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/beauveria_brongniartii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/beauveria_pseudobassiana.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/bipolaris_gigantea.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/bipolaris_maydis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/bipolaris_oryzae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/bipolaris_sorokiniana.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/bipolaris_zeicola.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/blastomyces_dermatitidis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/blastomyces_gilchristii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/blumeria_graminis_complex.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/botrytis_cinerea.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/brettanomyces_bruxellensis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/candida_albicans.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/candida_tropicalis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/candidozyma_auris.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/candidozyma_duobushaemuli.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/candidozyma_haemuli.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/candidozyma_vulturna.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/cercospora_beticola.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/cladosporium_cladosporioides.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/claviceps_purpurea.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/clavispora_lusitaniae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/clonostachys_chloroleuca.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/clonostachys_rosea.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/coccidioides_immitis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/coccidioides_posadasii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/cordyceps_cateniannulata.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/cordyceps_javanica.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/corynespora_cassiicola.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/cryphonectria_parasitica.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/cryptococcus_deneoformans.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/cryptococcus_gattii_complex.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/cryptococcus_neoformans.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/cryptococcus_tetragattii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/diaporthe_citri.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/diaporthe_eres.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/diplodia_sapinea.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/diutina_catenulata.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/dothistroma_septosporum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/drepanopeziza_brunnea.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/elsinoe_australis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/epichloe_festucae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/epichloe_typhina.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/exophiala_dermatitidis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/exserohilum_rostratum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/exserohilum_turcicum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fulvia_fulva.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_ambrosium.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_annulatum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_asiaticum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_avenaceum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_boothii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_circinatum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_commune.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_culmorum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_equiseti.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_euwallaceae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_falciforme.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_fujikuroi.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_graminearum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_keratoplasticum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_lateritium.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_meridionale.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_nygamai.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_odoratissimum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_oxysporum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_poae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_proliferatum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_pseudograminearum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_sacchari.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_solani.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_venenatum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_verticillioides.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/fusarium_xylarioides.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/geotrichum_candidum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/hansenula_anomala.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/histoplasma_capsulatum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/histoplasma_ohiense.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/hortaea_werneckii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/kluyveromyces_marxianus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/komagataella_phaffii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/lasallia_pustulata.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/lasiodiplodia_theobromae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/lodderomyces_elongisporus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/lodderomyces_metapsilosis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/lodderomyces_parapsilosis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/macrophomina_phaseolina.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/macrophomina_pseudophaseolina.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/macrophomina_tecta.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/metarhizium_anisopliae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/metarhizium_robertsii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/metschnikowia_pulcherrima.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/meyerozyma_caribbica.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/meyerozyma_guilliermondii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/monilinia_fructicola.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/morchella_eximia.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/mucor_circinelloides.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/neofusicoccum_parvum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/neonectria_ditissima.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/neurospora_cerealis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/neurospora_crassa.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/neurospora_discreta.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/neurospora_intermedia.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/neurospora_tetraspora.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/ogataea_haglerorum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/ogataea_polymorpha.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/ophidiomyces_ophidiicola.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/ophiostoma_novo_ulmi.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/ophiostoma_ulmi.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/paecilomyces_variotii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/paracoccidioides_brasiliensis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/paraphaeosphaeria_minitans.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/parastagonospora_avenae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/parastagonospora_nodorum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_biforme.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_brevicompactum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_camemberti.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_chrysogenum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_citrinum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_expansum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_fuscoglaucum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_paneum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_polonicum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_roqueforti.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/penicillium_rubens.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/pichia_kudriavzevii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/plenodomus_biglobosus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/plenodomus_lingam.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/pseudogymnoascus_destructans.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/purpureocillium_lilacinum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/pyrenophora_teres.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/pyricularia_grisea.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/pyricularia_oryzae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/rhizopus_arrhizus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/rhizopus_delemar.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/rhizopus_microsporus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/rhodotorula_mucilaginosa.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/rhodotorula_toruloides.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/rhynchosporium_graminicola.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_arboricola.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_eubayanus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_kudriavzevii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_mikatae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_paradoxus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_pastorianus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_uvarum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/same_strain_pairs.tsv.gz create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/sphaerulina_musiva.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/sporothrix_schenckii_complex.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/summary.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/talaromyces_marneffei.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/talaromyces_purpureogenus.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/tolypocladium_inflatum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichoderma_afroharzianum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichoderma_asperellum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichoderma_atroviride.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichoderma_harzianum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichoderma_koningiopsis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichoderma_longibrachiatum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichoderma_reesei.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichoderma_viride.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichophyton_indotineae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichophyton_interdigitale.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichophyton_mentagrophytes.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/trichophyton_rubrum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/ustilaginoidea_virens.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/venturia_inaequalis.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/verticillium_albo_atrum.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/verticillium_dahliae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/verticillium_nonalfalfae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/williopsis_jadinii.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/yarrowia_lipolytica.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/zymoseptoria_ardabiliae.clones.tsv create mode 100644 datasets/reads/sra_survey/pilot/clone_solid/zymoseptoria_tritici.clones.tsv diff --git a/datasets/reads/sra_survey/pilot/clone_solid/README.md b/datasets/reads/sra_survey/pilot/clone_solid/README.md new file mode 100644 index 00000000..69924131 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/README.md @@ -0,0 +1,81 @@ +# Clone groups by solid containment (2026-11-08) + +Which runs of a species are the same strain sequenced again, so the MAT counts can be given once per genotype as well as once per run. +Written by `../clone_solid.py`, read by `scripts/build_reads_site.py`. It replaces the older pair tables (`../clone_pilot/`, `../wave2/clone_pairs/`) +for every species that has a table here. + +## Files + +| File | What | +|---|---| +| `.clones.tsv` | One row per sketched run: hashes, solid hashes, median k-mer abundance (a coverage proxy for the subsample), nearest run and its ANI, clone id at 0.9999, 0.9995, 0.999 and 0.998 (`c1` the largest group), and the least similar pair inside the run's group at each threshold | +| `summary.tsv` | One row per species group: runs typed and sketched, median abundance, low-coverage runs, between-run ANI median and p99, clones at each threshold, the same-strain check | +| `same_strain_pairs.tsv.gz` | Every pair of runs of one species whose strain names match (after normalising case and punctuation; placeholders such as `missing` skipped), with its ANI | + +## Method + +- **Sketches:** the worker's sketch of each run's subsample (`genotype_mat_one_accession.sh` with `SKETCH=1`: up to 2 million read pairs, k=21, scaled 500, with abundances). The sketches were written during typing and in the sketch pass of 2026-11-08 (`waves//{out,sketch_out}` on the HPCC). +- **Before the distance:** k-mers seen once are dropped, as the sketch store does when it sketches (`../../sketch_store/sketch_one.sh`). Then the sketch is downsampled to scaled 1000. +- **Distance:** solid containment, as in `../../sketch_store/sketch_query.py`, which was validated on 136 *A. fumigatus* strains against SNP calls. + - A hash is solid in run a if its abundance is at least max(3, 0.25 × a's median). Only solid hashes count in a's denominator. A hash counts as shared if run b has it at all. + - ANI(a,b) is the mean over both directions of containment^(1/21). + - So sequencing errors and thin coverage do not count as differences. +- **Groups:** average linkage (scipy) on 1−ANI, cut at each threshold. + +**A first run left k-mers seen once in the sketch, and it was wrong.** In these subsamples, error k-mers outnumber the genome's k-mers. That pulled the median abundance to 1 to 5, so 167 of 203 species looked low coverage, and the solid threshold fell to its floor of 3. That run is not used; its output is kept on the HPCC in `results/2026-11-08_clone_solid/` for comparison. + +## Calibration: runs filed under the same strain name + +There are no split-half sketches left from the October pilot, so the check uses the data itself. It takes 30,045 pairs of runs whose strain names match. Some of these are true resequencing of one strain; others are a name reused for a different line or a lab-derived strain. + +| ANI band | same-name pairs | +|---|---| +| ≥ 0.9999 | 1,235 | +| 0.9995–0.9999 | 5,057 | +| **0.999–0.9995** | **881** | +| 0.998–0.999 | 5,533 | +| 0.995–0.998 | 5,977 | +| < 0.995 | 11,362 | + +The distribution has two modes, with a valley between 0.999 and 0.9995: copies sit at or above 0.9995, and different lines with one name sit at or below 0.999. This agrees with the sketch store's validation at 30x (same strain median 0.99996; between strains p99 0.999). Hence: + +- **Clone threshold 0.9995** (average linkage). +- **Plateau check against 0.999.** Counts per clone are given only if the number of clones moves by at most 10% of the runs between the two thresholds. + +## Rules on the site (`build_reads_site.py`) + +Counts per clone are given only when all of these hold: + +1. **At least 10 sketched runs.** +2. **The plateau holds**, as above. +3. **Coverage is enough:** the species' median k-mer abundance is at least 8. Below that, a thin subsample cannot separate a copy from a close relative. 23 of 202 groups fall below. +4. **The species is not uniform:** the median ANI between its runs is below 0.999. + +Rule 4 covers species whose strains differ by fewer variants than the sketch resolves, at roughly one in 10 kb or less. There, a group means "the sketch cannot tell these runs apart", not "these are copies". This applies to 13 groups: + +- *Exophiala dermatitidis*: between-run median 0.99990. +- *Trichophyton indotineae*: 0.99984, a clonal epidemic. +- *Lodderomyces parapsilosis*: 0.99957. +- Several *Candidozyma* species. +- Small groups. + +Groups are still shown for every species. Only the counts are withheld. + +## Limits + +- **Biology is not known here.** Sibling progeny of one cross fall below the threshold, and a clonal lineage with a few hundred SNPs can fall above it. +- **The same-strain names are a guide, not truth.** +- **A few species have very many same-name pairs:** *P. kudriavzevii* (4,191), *S. uvarum* (9,311), *C. albicans* (5,135) and the *C. gattii* complex (4,529). These are mostly one study naming many runs alike. They weigh heavily in the table above, but the two modes are also seen in the other species. +- **Diploids and heterozygous species (*C. albicans*):** the k-mers of both haplotypes are in the sketch. Two runs of one strain that lost heterozygosity differently can fall below the threshold. + +## Reproduce (HPCC) + +``` +W=results/sra_reads_typing/waves +A=; for d in $W/wave*/sketch_out $W/wave*/out; do A="$A --sigs $d"; done +sbatch -p short --qos short -c 16 --mem 96gb -t 2:00:00 --wrap \ + "/opt/linux/rocky/8.x/x86_64/pkgs/sourmash_branchwater/0.9.13/bin/python datasets/reads/sra_survey/pilot/clone_solid.py \ + --pilot datasets/reads/sra_survey/pilot --out results/2026-11-08_clone_solid_v2 --threads 16 $A" +``` + +This run was job 31874107, at commit cd5648d, and took about 25 minutes on 16 cores. It sketched 21,618 of the 22,138 typed runs across 202 groups. A run without a sketch is shown without a clone id. diff --git a/datasets/reads/sra_survey/pilot/clone_solid/akanthomyces_lecanii.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/akanthomyces_lecanii.clones.tsv new file mode 100644 index 00000000..cc7150fc --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/akanthomyces_lecanii.clones.tsv @@ -0,0 +1,10 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR22001975 39606 35180 10.0 SRR22217349 0.987793 c1 c1 c1 c1 +SRR22001985 36184 33338 11.0 SRR22217349 0.966997 c2 c2 c2 c2 +SRR22217375 39044 34292 10.0 SRR22217396 0.991205 c3 c3 c3 c3 +SRR22217396 38857 35773 11.0 SRR22217375 0.991205 c4 c4 c4 c4 +SRR35194792 33857 33399 13.0 SRR22217349 0.886712 c5 c5 c5 c5 +SRR22217305 38274 34327 11.0 SRR22217375 0.980359 c6 c6 c6 c6 +SRR22001973 40966 37606 10.0 SRR22217126 0.995742 c7 c7 c7 c7 +SRR22217126 43114 37980 9.0 SRR22001973 0.995742 c8 c8 c8 c8 +SRR22217349 39545 34399 10.0 SRR22001975 0.987793 c9 c9 c9 c9 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/alternaria_alternata.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/alternaria_alternata.clones.tsv new file mode 100644 index 00000000..7764da50 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/alternaria_alternata.clones.tsv @@ -0,0 +1,31 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR24187892 33855 33224 14.0 DRR1004064 0.994339 c3 c4 c4 c4 +ERR15383529 33287 31892 7.0 SRR16940176 0.985751 c4 c5 c5 c5 +SRR16940176 33315 32502 15.0 SRR4063291 1.000000 c2 c2 c2 c2 1.000000 1.000000 1.000000 1.000000 +SRR7889978 31939 28988 6.0 SRR22097738 0.989454 c5 c6 c6 c6 +SRR6997563 36460 34456 13.0 SRR16940176 0.986980 c6 c7 c7 c7 +SRR22097738 34374 33089 13.0 SRR17071222 0.991948 c7 c8 c8 c8 +SRR18188723 41158 35212 22.0 SRR14370401 0.976845 c8 c9 c9 c9 +DRR177662 34467 34115 13.0 SRR35781714 0.989423 c9 c10 c10 c10 +SRR35781714 33826 32675 14.0 SRR16940176 0.989794 c10 c11 c11 c11 +SRR17071222 34892 33203 13.0 SRR17071225 0.993642 c11 c12 c12 c12 +SRR17071226 35118 33258 13.0 SRR17071225 0.999873 c12 c3 c3 c3 0.999873 0.999873 0.999873 +SRR17071225 34312 33182 13.0 SRR17071226 0.999873 c13 c3 c3 c3 0.999873 0.999873 0.999873 +SRR29449233 34303 33641 14.0 SRR17071223 0.989519 c14 c13 c13 c13 +SRR17071224 35264 34212 12.0 SRR17071225 0.990309 c15 c14 c14 c14 +SRR4063291 33315 32502 15.0 SRR16940176 1.000000 c2 c2 c2 c2 1.000000 1.000000 1.000000 1.000000 +SRR14370411 29198 15838 3.0 SRR14370414 0.976663 c16 c15 c15 c15 +SRR14370409 26443 20760 13.0 SRR14370414 0.864143 c17 c16 c16 c16 +DRR1004064 36043 33443 12.0 SRR24187892 0.994339 c18 c17 c17 c17 +SRR14370414 30768 17102 3.0 SRR14370411 0.976663 c19 c18 c18 c18 +SRR12578435 36347 34387 13.0 SRR12178621 0.999255 c20 c19 c1 c1 0.998522 0.998522 +SRR17071223 39611 36737 12.0 SRR29449233 0.989519 c21 c20 c19 c19 +SRR14121835 36126 32961 10.0 SRR12178622 0.988261 c22 c21 c20 c20 +SRR14370401 35812 33689 12.0 SRR35781714 0.988986 c23 c22 c21 c21 +SRR17071227 39139 38237 11.0 SRR17071226 0.989802 c24 c23 c22 c22 +SRR14370399 36778 32816 10.0 SRR14370414 0.848989 c25 c24 c23 c23 +SRR14370407 30353 17509 3.0 SRR14370414 0.964281 c26 c25 c24 c24 +SRR12178621 34343 33558 13.0 SRR12178620 0.999936 c1 c1 c1 c1 0.999892 0.999892 0.998522 0.998522 +SRR12178620 34305 33639 13.0 SRR12178621 0.999936 c1 c1 c1 c1 0.999892 0.999892 0.998522 0.998522 +SRR12178622 34271 33449 13.0 SRR12178621 0.999931 c1 c1 c1 c1 0.999892 0.999892 0.998522 0.998522 +SRR12178623 36826 34733 12.0 SRR12178620 0.999262 c27 c26 c1 c1 0.998522 0.998522 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/alternaria_arborescens.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/alternaria_arborescens.clones.tsv new file mode 100644 index 00000000..f5c710c9 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/alternaria_arborescens.clones.tsv @@ -0,0 +1,6 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR6997557 34479 33271 15.0 SRR6997558 0.994627 c1 c1 c1 c1 +SRR6997558 34689 33167 17.0 SRR6997557 0.994627 c2 c2 c2 c2 +SRR7889973 35284 33190 12.0 SRR6997556 0.992552 c3 c3 c3 c3 +DRR1004066 38789 34465 11.0 SRR7889973 0.986753 c4 c4 c4 c4 +SRR6997556 35622 33446 17.0 SRR6997558 0.994461 c5 c5 c5 c5 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/alternaria_tenuissima.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/alternaria_tenuissima.clones.tsv new file mode 100644 index 00000000..606adbdd --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/alternaria_tenuissima.clones.tsv @@ -0,0 +1,12 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR6997552 34617 32898 15.0 SRR6997564 0.987598 c1 c2 c2 c2 +SRR6997564 34455 32587 18.0 SRR6997552 0.987598 c2 c3 c3 c3 +SRR6997553 38142 35073 14.0 SRR6997565 0.999662 c3 c1 c1 c1 0.999662 0.999662 0.999662 +SRR13808892 33635 32893 8.0 SRR6997560 0.988168 c4 c4 c4 c4 +SRR6997560 35592 33418 14.0 SRR13808892 0.988168 c5 c5 c5 c5 +SRR35781711 34511 32866 13.0 DRR1004065 0.988724 c6 c6 c6 c6 +SRR28390632 84229 57225 4.0 SRR6997564 0.777693 c7 c7 c7 c7 +DRR1004065 35827 32802 13.0 SRR35781711 0.988724 c8 c8 c8 c8 +SRR6997565 36582 34917 10.0 SRR6997553 0.999662 c9 c1 c1 c1 0.999662 0.999662 0.999662 +SRR6997561 35497 34044 16.0 SRR6997553 0.993009 c10 c9 c9 c9 +SRR6997562 33029 29801 5.0 SRR6997553 0.990812 c11 c10 c10 c10 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/ascochyta_lentis.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/ascochyta_lentis.clones.tsv new file mode 100644 index 00000000..6f212d04 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/ascochyta_lentis.clones.tsv @@ -0,0 +1,7 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR23294009 37182 36494 11.0 SRR8281714 0.998019 c1 c1 c1 c1 0.998019 +SRR8428461 32850 28809 5.0 SRR23294009 0.997371 c2 c2 c2 c2 +SRR8281715 36393 33890 7.0 SRR23294009 0.997756 c3 c3 c3 c3 +SRR8281717 36438 33371 6.0 SRR23294009 0.997645 c4 c4 c4 c4 +SRR23294004 41117 36155 7.0 SRR8281715 0.997655 c5 c5 c5 c5 +SRR8281714 36672 34090 7.0 SRR23294009 0.998019 c6 c6 c6 c1 0.998019 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_brasiliensis.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_brasiliensis.clones.tsv new file mode 100644 index 00000000..6fe7c064 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_brasiliensis.clones.tsv @@ -0,0 +1,6 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +DRR385079 34816 31232 14.0 DRR385080 0.998935 c1 c1 c1 c1 0.998935 +DRR385081 30519 26438 10.0 DRR385078 0.982348 c2 c2 c2 c2 +DRR385078 35410 32549 12.0 DRR385081 0.982348 c3 c3 c3 c3 +DRR385080 34991 32305 14.0 DRR385079 0.998935 c4 c4 c4 c1 0.998935 +SRR097461 26668 22808 6.0 DRR385080 0.956833 c5 c5 c5 c4 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_calidoustus.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_calidoustus.clones.tsv new file mode 100644 index 00000000..bc13dfdb --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_calidoustus.clones.tsv @@ -0,0 +1,7 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +ERR675099 41964 39681 18.0 SRR18739374 0.999463 c1 c2 c1 c1 0.999463 0.999463 +SRR18739382 40080 39742 12.0 SRR18739379 0.999790 c2 c1 c2 c2 0.999790 0.999790 0.999790 +SRR18739398 38052 33878 6.0 SRR18739373 0.978726 c3 c3 c3 c3 +SRR18739373 40700 40324 11.0 ERR675099 0.993988 c4 c4 c4 c4 +SRR18739374 40335 39997 11.0 ERR675099 0.999463 c5 c5 c1 c1 0.999463 0.999463 +SRR18739379 40381 39987 12.0 SRR18739382 0.999790 c6 c1 c2 c2 0.999790 0.999790 0.999790 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_chevalieri.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_chevalieri.clones.tsv new file mode 100644 index 00000000..3b144eb5 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_chevalieri.clones.tsv @@ -0,0 +1,7 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +DRR262018 28359 26992 15.0 SRR24152525 0.997483 c1 c1 c1 c1 +DRR037026 35240 29754 11.0 DRR262018 0.994147 c2 c2 c2 c2 +ERR14883725 26687 25251 12.0 SRR24152525 0.913498 c3 c3 c3 c3 +SRR24152525 28343 26856 16.0 DRR262018 0.997483 c4 c4 c4 c4 +SRR8397537 26764 26213 15.0 SRR24152525 0.996771 c5 c5 c5 c5 +SRR17844320 60903 54342 9.0 SRR8397537 0.980014 c6 c6 c6 c6 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_cristatus.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_cristatus.clones.tsv new file mode 100644 index 00000000..ec9f33ec --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_cristatus.clones.tsv @@ -0,0 +1,5 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR28580033 28149 26643 16.0 SRR28580035 0.999861 c1 c1 c1 c1 0.999861 0.999179 0.999179 +SRR28580035 27627 26638 16.0 SRR28580033 0.999861 c2 c1 c1 c1 0.999861 0.999179 0.999179 +SRR28580036 28396 26860 16.0 SRR28580035 0.999433 c3 c2 c1 c1 0.999179 0.999179 +SRR3948253 27270 26417 25.0 SRR28580035 0.999338 c4 c3 c1 c1 0.999179 0.999179 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fischeri.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fischeri.clones.tsv new file mode 100644 index 00000000..c8106502 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fischeri.clones.tsv @@ -0,0 +1,11 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR29650899 33748 32202 13.0 SRR29650901 0.999907 c1 c2 c2 c2 0.999907 0.999907 0.999907 0.999907 +SRR29650896 32198 30837 14.0 SRR29650918 0.998261 c4 c4 c4 c3 0.998261 +SRR29650901 33715 32239 14.0 SRR29650899 0.999907 c1 c2 c2 c2 0.999907 0.999907 0.999907 0.999907 +SRR15010323 31655 30664 25.0 SRR15010325 0.999976 c2 c3 c3 c4 0.999976 0.999976 0.999976 0.999976 +SRR29650918 32089 30707 14.0 SRR29650896 0.998261 c5 c5 c5 c3 0.998261 +SRR37832519 30183 28931 15.0 SRR37832587 0.999908 c6 c1 c1 c1 0.999827 0.999827 0.999827 +SRR37832517 29965 28882 15.0 SRR37832587 0.999922 c3 c1 c1 c1 0.999922 0.999827 0.999827 0.999827 +SRR15010325 31710 30671 25.0 SRR15010323 0.999976 c2 c3 c3 c4 0.999976 0.999976 0.999976 0.999976 +SRR37832587 29484 28904 15.0 SRR37832517 0.999922 c3 c1 c1 c1 0.999922 0.999827 0.999827 0.999827 +SRR37832518 30347 28940 15.0 SRR37832587 0.999866 c7 c1 c1 c1 0.999827 0.999827 0.999827 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_flavus.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_flavus.clones.tsv new file mode 100644 index 00000000..1963849c --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_flavus.clones.tsv @@ -0,0 +1,677 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR8556559 38484 36639 11.0 SRR23512417 0.999606 c22 c2 c2 c2 0.999123 0.998754 0.997086 +ERR16037724 31532 25571 4.0 DRR1095902 0.993162 c23 c70 c85 c76 +ERR16037652 34020 30812 6.0 ERR16037757 0.997228 c24 c71 c86 c77 +SRR21205255 35602 32827 5.0 SRR23512525 0.998390 c25 c72 c87 c49 0.998390 +SRR23512432 36917 36331 13.0 SRR23512433 0.999964 c10 c1 c1 c1 0.999921 0.999394 0.999394 0.996072 +SRR12001184 43774 38075 17.0 SRR23512505 0.999098 c26 c73 c44 c15 0.999098 0.998066 +SRR12001185 43955 38403 17.0 SRR12001212 0.998292 c27 c74 c88 c4 0.997597 +DRR1095850 38737 37522 12.0 DRR1095848 0.999796 c28 c31 c45 c50 0.999796 0.999796 0.999796 +SRR11596606 41647 35864 8.0 SRR23512500 0.999079 c29 c75 c31 c25 0.998983 0.997517 +SRR12095903 38371 37959 12.0 SRR12082796 0.994375 c30 c76 c89 c78 +SRR11234186 39499 37501 11.0 SRR11234180 0.999499 c31 c77 c10 c10 0.998964 0.998387 +SRR12001211 43150 37619 17.0 SRR25192105 0.998605 c32 c78 c90 c35 0.997595 +SRR12001212 43892 38009 17.0 SRR12001179 0.998744 c33 c79 c91 c4 0.997597 +SRR26089358 35439 32571 5.0 SRR23512388 0.998832 c34 c80 c92 c1 0.996072 +SRR32960363 40172 36816 10.0 SRR32960362 0.998946 c35 c81 c93 c2 0.997086 +SRR24308415 38332 37380 12.0 SRR24148997 0.998519 c36 c82 c94 c19 0.997720 +SRR24308424 37951 37038 12.0 SRR24308415 0.997700 c37 c83 c95 c79 +DRR1095781 38487 37700 12.0 SRR12001200 0.999152 c38 c84 c46 c3 0.999152 0.997147 +DRR1095605 38066 37353 12.0 DRR1095795 0.999757 c39 c12 c19 c26 0.999284 0.999284 0.999284 +DRR1095672 38936 38319 12.0 DRR1095716 0.999219 c40 c85 c32 c3 0.998864 0.997147 +SRR12001177 44638 39642 16.0 SRR12001214 0.995627 c41 c86 c96 c80 +SRR24308422 38244 37305 12.0 DRR1095840 0.998193 c42 c87 c97 c81 +SRR12001201 43933 38129 17.0 DRR1095969 0.999497 c43 c88 c11 c17 0.999027 0.997646 +SRR12001221 43044 38051 18.0 DRR1095696 0.999524 c44 c32 c33 c4 0.999524 0.999031 0.997597 +SRR12001147 44553 38362 16.0 SRR12001167 0.995630 c45 c89 c98 c82 +SRR11596614 38080 36334 11.0 SRR11596600 0.996900 c46 c90 c99 c83 +SRR8556560 37682 36625 12.0 SRR23512421 0.999824 c47 c1 c1 c1 0.999394 0.999394 0.996072 +SRR24308404 38847 37934 12.0 SRR24308393 0.998587 c48 c91 c100 c36 0.998347 +SRR24148997 38777 37841 12.0 SRR24308396 0.999320 c49 c92 c20 c19 0.998765 0.997720 +SRR8556699 38290 36575 12.0 SRR22019710 0.999425 c50 c93 c5 c6 0.999125 0.997810 +SRR11596608 37900 35772 10.0 SRR11486420 0.999434 c51 c94 c21 c27 0.999352 0.999352 +SRR8556561 37797 36147 12.0 SRR23512405 0.999581 c52 c1 c1 c1 0.999394 0.999394 0.996072 +DRR402016 16989 10744 4.0 ERR2219377 0.892985 c53 c95 c101 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0.999125 0.997810 +SRR13197238 38688 37332 12.0 SRR6907248 0.997793 c62 c102 c107 c89 +SRR495768 34995 28640 5.0 DRR107963 0.996972 c63 c103 c108 c90 +DRR468849 41649 37649 10.0 SRR24308407 0.997384 c64 c104 c109 c91 +SRR25192105 37755 37041 12.0 SRR12001211 0.998605 c65 c105 c110 c35 0.997595 +SRR11234187 40189 36705 9.0 SRR11234186 0.998833 c66 c106 c111 c10 0.998387 +DRR1095800 38221 37463 12.0 DRR1095906 0.995881 c67 c107 c112 c92 +SRR23512548 36751 36278 13.0 SRR23512501 0.999973 c1 c1 c1 c1 0.999872 0.999394 0.999394 0.996072 +SRR12001175 45801 39046 15.0 SRR12001194 0.997004 c68 c108 c113 c93 +SRR32960353 41873 38980 11.0 SRR23512488 0.997647 c69 c109 c114 c94 +ERR16037756 30705 25927 5.0 ERR16037757 0.995245 c70 c110 c115 c95 +SRR11596612 38459 36641 10.0 SRR11596600 0.995626 c71 c111 c116 c96 +SRR28841493 38517 37420 12.0 SRR28841489 0.999771 c72 c22 c35 c11 0.999739 0.999739 0.997824 +SRR8554025 37869 36349 12.0 SRR23512405 0.999763 c73 c1 c1 c1 0.999394 0.999394 0.996072 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0.999495 0.999495 0.998491 +SRR23512389 36925 36281 13.0 SRR23512406 0.999954 c1 c1 c1 c1 0.999872 0.999394 0.999394 0.996072 +DRR1095891 38424 37616 12.0 DRR1095474 0.999789 c559 c26 c26 c24 0.999596 0.998985 0.997952 +SRR23512582 37034 36351 13.0 SRR23512594 0.999953 c3 c3 c4 c5 0.999876 0.999876 0.999413 0.998262 +DRR1095780 38462 37493 12.0 DRR1095448 0.999761 c560 c25 c18 c3 0.999609 0.998905 0.997147 +SRR23512581 37644 36687 13.0 SRR23512418 0.999768 c561 c40 c58 c22 0.999768 0.999768 0.998177 +DRR1095964 38460 37609 12.0 DRR1095768 0.997785 c562 c454 c398 c301 +SRR23512552 37619 37013 13.0 SRR23512553 0.999737 c563 c4 c6 c9 0.999663 0.999663 0.999663 +DRR1095466 38683 37226 12.0 DRR1095840 0.998580 c564 c455 c399 c13 0.997555 +SRR23512563 37428 36683 13.0 SRR23512429 0.999931 c2 c2 c2 c2 0.999891 0.999123 0.998754 0.997086 +DRR1095919 37984 37198 12.0 SRR35017291 0.998843 c565 c456 c400 c3 0.997147 +SRR23512476 37201 36480 13.0 SRR23512593 0.999919 c3 c3 c4 c5 0.999876 0.999876 0.999413 0.998262 +DRR1095904 38577 37582 12.0 DRR1095781 0.998445 c566 c457 c401 c3 0.997147 +SRR23512395 37269 36554 13.0 SRR23512397 0.999947 c21 c69 c84 c8 0.999947 0.999947 0.999947 0.997182 +DRR1095768 38421 37646 12.0 DRR1095758 0.999866 c567 c10 c13 c15 0.999622 0.999622 0.998066 +SRR23512397 37140 36545 13.0 SRR23512395 0.999947 c21 c69 c84 c8 0.999947 0.999947 0.999947 0.997182 +DRR1095667 38064 37460 12.0 DRR1095666 0.999880 c568 c61 c77 c69 0.999880 0.999880 0.999880 +SRR23512546 37214 36556 13.0 SRR23512579 0.997579 c569 c458 c402 c302 +DRR1095424 38249 37758 12.0 SRR24308411 0.998551 c570 c459 c403 c13 0.997555 +SRR23512450 37826 37293 12.0 SRR23512460 0.998877 c571 c460 c404 c74 0.998877 +DRR1095443 38454 37845 12.0 DRR1095420 0.999863 c572 c64 c81 c72 0.999863 0.999863 0.999863 +SRR23512600 36823 36273 13.0 SRR23512423 0.999957 c1 c1 c1 c1 0.999872 0.999394 0.999394 0.996072 +DRR1095927 39349 37645 12.0 DRR1095538 0.997515 c573 c461 c405 c303 +SRR23512505 37430 36849 12.0 SRR12001184 0.999098 c574 c462 c44 c15 0.999098 0.998066 +DRR1095844 38387 37530 12.0 DRR1095976 0.995766 c575 c463 c406 c304 +SRR23512457 37689 36921 13.0 SRR23512455 0.999897 c576 c67 c9 c14 0.999897 0.998740 0.998382 +DRR1095739 38307 37541 12.0 DRR1095694 0.999706 c577 c29 c29 c3 0.999625 0.999082 0.997147 +SRR23512521 37650 36876 13.0 SRR23512572 0.999908 c8 c11 c14 c8 0.999902 0.999823 0.999361 0.997182 +DRR1095638 38149 37615 12.0 DRR1095748 0.999884 c578 c7 c8 c12 0.999495 0.999495 0.998491 +SRR23512469 37235 36507 13.0 SRR23512550 0.999952 c5 c8 c7 c16 0.999927 0.999850 0.999079 0.999079 +DRR1095653 39170 37938 12.0 DRR1095714 0.999786 c579 c42 c24 c29 0.999786 0.999039 0.999039 +SRR23512491 37123 36508 13.0 SRR23512498 0.999949 c14 c30 c43 c47 0.999939 0.999939 0.999939 0.999939 +DRR1095740 38013 37407 12.0 DRR1095780 0.999219 c580 c464 c79 c3 0.999123 0.997147 +SRR23512421 37034 36430 13.0 SRR23512433 0.999928 c10 c1 c1 c1 0.999921 0.999394 0.999394 0.996072 +DRR1095833 38365 37079 12.0 DRR1095822 0.995980 c581 c465 c407 c305 +SRR23512593 37149 36432 13.0 SRR23512586 0.999950 c3 c3 c4 c5 0.999876 0.999876 0.999413 0.998262 +DRR1095469 38838 37644 12.0 SRR12001165 0.998940 c582 c466 c408 c3 0.997147 +SRR23512553 37208 36524 13.0 SRR23512554 0.999952 c4 c4 c6 c9 0.999920 0.999663 0.999663 0.999663 +DRR1095633 38343 37576 12.0 SRR12001165 0.999111 c583 c467 c80 c3 0.999111 0.997147 +SRR23512379 37257 36580 13.0 SRR23512488 0.999973 c2 c2 c2 c2 0.999891 0.999123 0.998754 0.997086 +DRR1095703 38508 37560 12.0 DRR1095700 0.997633 c584 c468 c409 c306 +SRR23512401 37264 36607 13.0 SRR23512488 0.999966 c2 c2 c2 c2 0.999891 0.999123 0.998754 0.997086 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fumigatiaffinis.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fumigatiaffinis.clones.tsv new file mode 100644 index 00000000..897fa758 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fumigatiaffinis.clones.tsv @@ -0,0 +1,5 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR10592623 34364 32264 12.0 SRR10592622 0.996227 c1 c1 c1 c1 +SRR10592624 34621 32892 12.0 SRR10592623 0.995947 c2 c2 c2 c2 +SRR10592621 35149 33434 12.0 SRR10592622 0.996048 c3 c3 c3 c3 +SRR10592622 34403 32570 12.0 SRR10592623 0.996227 c4 c4 c4 c4 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fumigatus.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fumigatus.clones.tsv new file mode 100644 index 00000000..a643e42b --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_fumigatus.clones.tsv @@ -0,0 +1,629 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 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0.999631 0.996878 +SRR35748745 30006 28840 15.0 SRR35748739 0.999890 c37 c1 c1 c3 0.999302 0.998600 0.996846 +ERR12374170 27633 25586 7.0 ERR18000351 0.998745 c38 c62 c80 c55 +SRR10714213 31005 28323 15.0 SRR5676587 0.999068 c39 c63 c37 c7 0.999068 0.997393 +SRR16539783 28613 27512 16.0 SRR10714216 0.998944 c40 c64 c81 c1 0.996878 +SRR37934322 31528 29473 16.0 SRR37934320 0.998659 c41 c65 c82 c56 +SRR617741 28695 28193 10.0 SRR617725 0.999221 c42 c66 c21 c2 0.999040 0.997417 +ERR13159158 27765 26632 8.0 ERR13159168 0.999032 c43 c67 c22 c20 0.999002 0.998007 +SRR37676798 29738 28280 16.0 SRR16287628 0.999265 c44 c68 c38 c2 0.999265 0.997417 +SRR10815945 32002 28548 13.0 SRR14364163 0.998264 c45 c69 c83 c57 +ERR13925068 29203 27422 8.0 SRR32486549 0.999272 c46 c70 c1 c3 0.998600 0.996846 +SRR34883177 33386 26328 6.0 SRR25074140 0.996399 c47 c71 c84 c58 +SRR7418946 29701 27485 14.0 SRR7418948 0.997435 c48 c72 c85 c59 +SRR32432800 29200 28050 16.0 SRR32432797 0.999879 c49 c10 c13 c21 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0.997372 +DRR237583 28534 27894 16.0 DRR237582 0.999889 c163 c24 c40 c4 0.999889 0.999889 0.997372 +DRR377377 28827 27976 17.0 SRR28171157 0.999696 c164 c9 c11 c17 0.999565 0.999565 0.999565 +SRR29829662 28708 27222 17.0 SRR20117973 0.998654 c165 c152 c150 c5 0.997589 +SRR32783567 28641 27915 15.0 SRR14364163 0.998765 c166 c153 c151 c1 0.996878 +SRR34885651 30954 27929 14.0 DRR289667 0.998504 c167 c154 c152 c2 0.997417 +SRR39796114 32409 27869 16.0 SRR11977833 0.998458 c168 c155 c153 c81 +SRR4002444 28040 27737 10.0 SRR12825367 0.999949 c15 c14 c24 c1 0.999949 0.999768 0.999768 0.996878 +SRR6434917 28299 27922 10.0 SRR617724 0.998616 c169 c156 c154 c4 0.997372 +SRR16287628 27851 27336 17.0 SRR37676798 0.999265 c170 c157 c38 c2 0.999265 0.997417 +SRR17391686 30291 28617 15.0 SRR28171156 0.999806 c171 c9 c11 c17 0.999565 0.999565 0.999565 +ERR15975834 27763 26331 7.0 SRR617735 0.998905 c172 c158 c155 c4 0.997372 +ERR16779619 28726 27621 7.0 SRR13579407 0.999067 c173 c159 c48 c7 0.999067 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28204 17.0 SRR35889138 0.998699 c234 c209 c190 c47 0.998391 +SRR11785112 30438 27809 26.0 SRR25451364 0.999895 c235 c38 c58 c1 0.999895 0.999895 0.996878 +ERR12945849 27860 27276 8.0 SRR27468273 0.999310 c236 c210 c3 c2 0.998868 0.997417 +SRR13579400 29990 28365 16.0 SRR17970486 0.998789 c237 c211 c191 c2 0.997417 +ERR12832797 30643 29356 12.0 SRR37676797 0.998555 c238 c212 c192 c35 0.997851 +SRR25183022 31209 28160 14.0 SRR25182966 0.998780 c239 c213 c193 c12 0.997649 +SRR36038405 33919 28642 24.0 SRR14364151 0.998426 c240 c214 c194 c13 0.997653 +SRR12763087 30630 27895 13.0 SRR12825367 0.999793 c241 c14 c24 c1 0.999768 0.999768 0.996878 +SRR15010398 29201 28052 28.0 DRR495375 0.998765 c242 c215 c195 c5 0.997589 +DRR495398 29335 27803 16.0 SRR10815947 0.998688 c243 c216 c196 c5 0.997589 +SRR35748713 30744 28917 14.0 SRR35748710 0.999859 c244 c1 c1 c3 0.999302 0.998600 0.996846 +SRR11977843 28843 28409 16.0 SRR20117972 0.999106 c245 c217 c54 c1 0.999106 0.996878 +ERR12374158 28166 26527 8.0 SRR23944277 0.999280 c246 c218 c59 c8 0.999280 0.997568 +SRR10714224 29807 27495 15.0 SRR16539781 0.999036 c247 c219 c197 c6 0.998115 +SRR16539785 28648 27581 16.0 SRR10592629 0.998613 c248 c220 c198 c5 0.997589 +SRR37934330 28929 28435 16.0 SRR37934328 0.999954 c21 c17 c30 c4 0.999954 0.999761 0.999761 0.997372 +SRR617721 28101 27680 10.0 SRR617724 0.999852 c249 c18 c16 c1 0.999841 0.999185 0.996878 +ERR13159143 28033 27197 8.0 DRR290854 0.998996 c250 c221 c199 c19 0.997889 +SRR37676786 30345 28484 16.0 SRR16944321 0.998975 c251 c222 c200 c1 0.996878 +SRR10815958 31827 27854 13.0 SRR10815974 0.999310 c252 c223 c4 c6 0.998757 0.998115 +ERR13925073 29069 27171 8.0 SRR32486549 0.999238 c253 c224 c1 c3 0.998600 0.996846 +SRR34883198 33629 27814 8.0 SRR34883167 0.996332 c254 c225 c201 c91 +SRR7418947 30244 28088 13.0 SRR7418944 0.997800 c255 c226 c202 c92 +SRR32432795 29885 28662 15.0 SRR32432814 0.999904 c22 c1 c1 c3 0.999904 0.999302 0.998600 0.996846 +ERR769516 29280 28573 10.0 ERR769514 0.999377 c256 c227 c17 c2 0.999308 0.997417 +SRR27468284 28214 27718 17.0 SRR27468274 0.999854 c257 c3 c3 c2 0.999689 0.998868 0.997417 +SRR14364147 36220 28708 19.0 SRR14364154 0.999917 c11 c8 c9 c2 0.999903 0.999690 0.999690 0.997417 +SRR22525900 28565 28078 16.0 SRR22525910 0.999149 c258 c228 c60 c2 0.999045 0.997417 +SRR20117971 30176 27843 29.0 SRR11785158 0.999929 c16 c27 c43 c5 0.999929 0.999929 0.999929 0.997589 +SRR25451364 28899 27856 16.0 SRR11785112 0.999895 c259 c38 c58 c1 0.999895 0.999895 0.996878 +ERR14230101 27858 25914 7.0 SRR13579457 0.997817 c260 c229 c203 c93 +DRR290035 29229 28193 16.0 DRR290039 0.999839 c261 c39 c61 c4 0.999839 0.999839 0.997372 +SRR23944277 30003 27605 14.0 ERR12374158 0.999280 c262 c230 c59 c8 0.999280 0.997568 +SRR28508734 32299 28853 12.0 SRR28508724 0.999713 c263 c1 c1 c3 0.999302 0.998600 0.996846 +SRR35834993 32621 28736 13.0 SRR35834984 0.999816 c264 c1 c1 c3 0.999302 0.998600 0.996846 +SRR12894196 29447 28580 15.0 SRR34883159 0.998434 c265 c231 c204 c48 0.998434 +SRR23941184 29708 27744 15.0 SRR23941182 0.998591 c266 c232 c205 c11 0.997745 +DRR290855 30164 28552 16.0 ERR769510 0.999348 c267 c233 c62 c7 0.999348 0.997393 +SRR8759707 31041 28099 13.0 SRR8759704 0.999589 c268 c4 c5 c9 0.999348 0.998866 0.998679 +SRR33264177 29063 28609 16.0 SRR33264173 0.999984 c1 c5 c6 c14 0.999958 0.999958 0.999958 0.999958 +SRR17970484 28354 28083 14.0 SRR17970481 0.999966 c2 c6 c7 c2 0.999937 0.999937 0.999937 0.997417 +SRR24318411 30497 28789 16.0 SRR24318409 0.999901 c23 c1 c1 c3 0.999901 0.999302 0.998600 0.996846 +SRR5676593 29229 28492 11.0 SRR5676589 0.999749 c269 c16 c29 c3 0.999664 0.999664 0.996846 +SRR17181022 29516 28348 15.0 ERR12832838 0.998785 c270 c234 c206 c12 0.997649 +SRR23944498 29214 28379 16.0 SRR23944499 0.998684 c271 c235 c207 c16 0.997952 +DRR022915 28840 27896 13.0 DRR022920 0.999746 c272 c13 c15 c5 0.999532 0.999374 0.997589 +DRR289667 29271 27871 15.0 DRR289668 0.999931 c7 c2 c2 c2 0.999910 0.999368 0.998895 0.997417 +DRR015096 29737 28020 19.0 DRR015089 1.000000 c19 c35 c15 c5 1.000000 1.000000 0.999374 0.997589 +SRR25626820 29377 28000 19.0 SRR20117981 0.999812 c273 c22 c14 c1 0.999812 0.999109 0.996878 +ERR2864483 34501 27981 22.0 ERR12832794 0.998142 c274 c236 c208 c49 0.998142 +SRR28171157 28919 28517 16.0 SRR28171156 0.999977 c5 c9 c11 c17 0.999963 0.999565 0.999565 0.999565 +SRR36017302 28637 27825 17.0 SRR36017305 0.999953 c6 c11 c18 c24 0.999905 0.999905 0.999905 0.999905 +SRR9265315 32645 28581 14.0 SRR9265317 0.999706 c275 c36 c55 c25 0.999706 0.999706 0.997851 +SRR10997302 30372 27172 10.0 SRR10997287 0.998739 c276 c237 c209 c26 0.998727 +SRR159253 27719 23660 5.0 SRR22525894 0.996247 c277 c238 c210 c94 +ERR16779477 28141 27072 8.0 SRR22525890 0.999074 c278 c239 c211 c1 0.996878 +ERR18000378 28595 27698 8.0 SRR14364143 0.998730 c279 c240 c212 c2 0.997417 +SRR16944275 27524 27359 17.0 SRR17181026 0.999293 c280 c241 c4 c6 0.998757 0.998115 +SRR35889119 28848 28058 16.5 SRR27468273 0.997843 c281 c242 c213 c95 +SRR11785145 30250 27743 26.0 SRR11785158 0.998580 c282 c243 c214 c15 0.997705 +ERR12945902 27919 27351 8.0 SRR11785123 0.999264 c283 c244 c215 c1 0.996878 +SRR13579407 30582 27934 15.0 ERR16779619 0.999067 c284 c245 c48 c7 0.999067 0.997393 +ERR12832775 28644 27552 13.0 SRR37934311 0.998542 c285 c246 c216 c27 0.998030 +SRR25183081 31064 27913 14.0 SRR25183080 0.998583 c286 c247 c217 c40 0.998583 +SRR36038400 32400 28661 25.0 SRR36038401 0.999993 c3 c7 c8 c13 0.999959 0.999555 0.999555 0.997653 +SRR14584225 30172 28163 16.0 SRR14584253 0.999406 c287 c248 c20 c1 0.999371 0.996878 +SRR15010403 29438 28382 28.0 DRR290042 0.998332 c288 c249 c218 c96 +DRR495363 28773 27811 15.0 SRR15010379 0.998765 c289 c250 c219 c4 0.997372 +SRR35748756 30238 28755 14.0 SRR35748745 0.999879 c290 c1 c1 c3 0.999302 0.998600 0.996846 +SRR11977852 28629 28199 16.0 SRR11977816 0.999148 c291 c251 c12 c4 0.999024 0.997372 +ERR12374165 27704 25570 7.0 ERR12832775 0.997438 c292 c252 c220 c97 +SRR10714263 29105 27912 17.0 ERR12945912 0.999519 c293 c30 c25 c1 0.999519 0.999119 0.996878 +SRR16539778 29032 28182 16.0 SRR20117969 0.998515 c294 c253 c221 c1 0.996878 +SRR37934319 28496 27861 17.0 SRR37934320 0.999980 c18 c32 c51 c1 0.999980 0.999980 0.999980 0.996878 +SRR617724 28172 27686 10.0 SRR617720 0.999853 c295 c18 c16 c1 0.999841 0.999185 0.996878 +ERR13159161 28261 26823 8.0 ERR13159168 0.998369 c296 c254 c222 c20 0.998007 +SRR37676799 29814 28655 16.0 SRR5676586 0.998732 c297 c255 c223 c7 0.997393 +SRR10815965 33187 29528 12.0 SRR10815942 0.999201 c298 c256 c63 c50 0.999201 0.999201 +ERR13925071 29016 27056 8.0 SRR32486549 0.999110 c299 c257 c224 c3 0.996846 +SRR34883175 30425 28284 14.0 SRR11785111 0.999599 c300 c40 c64 c5 0.999599 0.999599 0.997589 +SRR7418925 28421 26759 16.0 SRR7418933 0.998964 c301 c258 c225 c6 0.998115 +SRR32432792 29726 28726 16.0 SRR32486549 0.999918 c8 c1 c1 c3 0.999899 0.999302 0.998600 0.996846 +ERR769515 28320 27828 9.0 ERR769514 0.999866 c302 c12 c17 c2 0.999839 0.999308 0.997417 +SRR27468298 28641 28086 16.0 SRR27468295 0.999966 c4 c3 c3 c2 0.999905 0.999689 0.998868 0.997417 +SRR14364154 36260 28741 20.0 SRR14364147 0.999917 c11 c8 c9 c2 0.999903 0.999690 0.999690 0.997417 +SRR22525890 28486 27745 17.0 ERR18000351 0.999155 c303 c259 c34 c1 0.999155 0.996878 +SRR20117973 30076 27714 29.0 SRR5676592 0.999536 c304 c41 c65 c5 0.999536 0.999536 0.997589 +SRR25073378 31975 28971 12.0 ERR769506 0.997863 c305 c260 c226 c98 +ERR14230094 27934 26134 8.0 SRR16944462 0.999192 c306 c261 c57 c46 0.999192 0.999192 +DRR290038 29248 28178 16.0 ERR12832720 0.999353 c307 c262 c12 c4 0.999024 0.997372 +SRR23944283 29641 27502 15.0 SRR23944287 0.999155 c308 c263 c66 c8 0.999155 0.997568 +SRR28508727 31096 28602 12.0 SRR28508724 0.999614 c309 c1 c1 c3 0.999302 0.998600 0.996846 +SRR35834991 34322 29754 13.0 SRR32486549 0.999048 c310 c264 c227 c3 0.996846 +SRR12894204 32622 30473 13.0 DRR495412 0.996502 c311 c265 c228 c99 +SRR23941178 29793 27677 16.0 SRR14364163 0.998441 c312 c266 c229 c11 0.997745 +DRR290852 29481 28000 16.0 SRR27468273 0.998130 c313 c267 c230 c100 +SRR8759700 29271 27767 16.0 SRR8759708 0.999863 c314 c4 c5 c9 0.999348 0.998866 0.998679 +SRR33264179 29029 28628 16.0 SRR33264173 0.999989 c1 c5 c6 c14 0.999958 0.999958 0.999958 0.999958 +SRR17970485 28332 28060 14.0 SRR17970482 0.999970 c2 c6 c7 c2 0.999937 0.999937 0.999937 0.997417 +SRR24318412 30831 28773 15.0 SRR24318413 0.999897 c315 c1 c1 c3 0.999302 0.998600 0.996846 +SRR5676587 29400 28774 11.0 SRR10714213 0.999068 c316 c268 c37 c7 0.999068 0.997393 +SRR17181024 29492 28036 15.0 SRR22525894 0.998790 c317 c269 c231 c1 0.996878 +SRR23944500 28542 27801 16.0 SRR23944502 0.998711 c318 c270 c232 c16 0.997952 +DRR022917 28477 27466 10.0 DRR022915 0.999663 c319 c13 c15 c5 0.999532 0.999374 0.997589 +DRR289668 28914 27881 16.0 DRR289667 0.999931 c7 c2 c2 c2 0.999910 0.999368 0.998895 0.997417 +DRR015102 28821 27464 20.0 ERR13159174 0.998838 c320 c271 c233 c15 0.997705 +SRR25758800 29382 28281 18.0 SRR25759124 0.999098 c321 c272 c67 c1 0.999058 0.996878 +ERR16779618 28088 27398 8.0 ERR12832838 0.998410 c322 c273 c234 c12 0.997649 +ERR18000294 28266 27364 8.0 SRR14364163 0.998255 c323 c274 c235 c101 +SRR16944274 28301 27779 17.0 SRR22525894 0.999518 c324 c29 c10 c1 0.999518 0.998684 0.996878 +SRR35888976 29048 28055 17.0 SRR35889047 0.999126 c325 c275 c31 c1 0.999126 0.996878 +SRR11785111 30938 27965 25.0 SRR34883175 0.999599 c326 c40 c64 c5 0.999599 0.999599 0.997589 +ERR12945867 27717 27176 9.0 SRR14364163 0.999333 c327 c276 c10 c1 0.998684 0.996878 +SRR13579465 30326 28399 15.0 SRR5676593 0.998806 c328 c277 c236 c3 0.996846 +ERR12832838 29285 28199 12.0 ERR13159150 0.998815 c329 c278 c237 c12 0.997649 +SRR25183071 31335 28145 14.0 SRR11785205 0.998955 c330 c279 c238 c1 0.996878 +SRR36038392 32842 28740 25.0 SRR36038346 0.999974 c24 c7 c8 c13 0.999974 0.999555 0.999555 0.997653 +SRR12763099 30490 27838 13.0 SRR20117971 0.998549 c331 c280 c239 c22 0.997924 +SRR15010376 29822 28404 27.0 SRR11785189 0.999910 c20 c37 c56 c45 0.999910 0.999910 0.999910 0.999910 +DRR495392 29540 28065 16.0 SRR32783569 0.999684 c332 c25 c41 c4 0.999684 0.999684 0.997372 +SRR35748726 32139 29367 12.0 SRR35748713 0.999566 c333 c281 c1 c3 0.998600 0.996846 +SRR11977838 28378 27955 17.0 SRR11785111 0.998469 c334 c282 c240 c4 0.997372 +ERR12374169 28000 25815 7.0 ERR14230105 0.998397 c335 c283 c241 c51 0.998397 +SRR10714216 29927 27388 15.0 SRR13579376 0.999084 c336 c284 c242 c1 0.996878 +SRR16539758 29043 28311 16.0 SRR16539764 0.998609 c337 c285 c243 c33 0.997982 +SRR37934303 29099 28206 17.0 SRR37934302 0.999959 c25 c42 c32 c18 0.999959 0.999959 0.999258 0.997842 +SRR617735 28702 28269 10.0 SRR16944281 0.998928 c338 c286 c244 c4 0.997372 +ERR13159173 27499 26628 8.0 SRR27468273 0.998945 c339 c287 c245 c2 0.997417 +SRR37676797 31135 29432 16.0 ERR12832797 0.998555 c340 c288 c246 c35 0.997851 +SRR10815963 32199 28426 13.0 SRR617729 0.999022 c341 c289 c45 c4 0.999022 0.997372 +ERR13925072 29177 27368 8.0 SRR32486549 0.999313 c342 c290 c1 c3 0.998600 0.996846 +SRR34883159 33150 29667 11.0 SRR12894196 0.998434 c343 c291 c247 c48 0.998434 +SRR7418935 30946 28829 13.0 SRR22525895 0.999762 c344 c34 c53 c43 0.999762 0.999762 0.999762 +SRR32432807 29022 27948 15.0 SRR32432808 0.999827 c345 c43 c68 c5 0.999827 0.999827 0.997589 +ERR769503 27998 27796 10.0 DRR289667 0.999885 c346 c2 c2 c2 0.999368 0.998895 0.997417 +SRR27468279 28516 27843 17.0 SRR27468295 0.999930 c4 c3 c3 c2 0.999905 0.999689 0.998868 0.997417 +SRR14364163 30923 27869 30.0 SRR11785123 0.999585 c347 c44 c10 c1 0.999585 0.998684 0.996878 +SRR22525912 28996 28495 16.0 SRR28035001 0.998829 c348 c292 c248 c31 0.997781 +SRR20117967 30667 28319 28.0 DRR290038 0.999248 c349 c293 c12 c4 0.999024 0.997372 +SRR25073377 30788 28109 14.0 SRR11785145 0.998549 c350 c294 c249 c15 0.997705 +ERR14230107 28538 26839 8.0 ERR16779443 0.998108 c351 c295 c250 c102 +DRR290039 29243 28187 16.0 DRR290035 0.999839 c352 c39 c61 c4 0.999839 0.999839 0.997372 +SRR23944280 29729 27600 15.0 SRR23944277 0.998802 c353 c296 c251 c8 0.997568 +SRR28508724 31779 28496 13.0 SRR32486549 0.999841 c354 c1 c1 c3 0.999302 0.998600 0.996846 +SRR35834983 33423 28792 13.0 SRR35834984 0.999814 c355 c1 c1 c3 0.999302 0.998600 0.996846 +SRR12894200 31028 28814 14.0 SRR12894201 0.998354 c356 c297 c252 c36 0.997771 +SRR23941186 29897 27593 15.0 SRR23941183 0.998811 c357 c298 c253 c11 0.997745 +DRR290854 30014 28443 16.0 ERR13159143 0.998996 c358 c299 c254 c19 0.997889 +SRR8759709 29053 27775 16.0 SRR8759703 0.999892 c359 c4 c5 c9 0.999348 0.998866 0.998679 +SRR33264176 29087 28614 16.0 SRR33264173 0.999980 c1 c5 c6 c14 0.999958 0.999958 0.999958 0.999958 +SRR17967721 28364 28151 14.0 SRR17970479 0.999974 c2 c6 c7 c2 0.999937 0.999937 0.999937 0.997417 +SRR24318409 30497 28772 16.0 SRR24318411 0.999901 c23 c1 c1 c3 0.999901 0.999302 0.998600 0.996846 +SRR5676586 29700 28877 11.0 SRR37676799 0.998732 c360 c300 c255 c7 0.997393 +SRR17181027 28886 27725 16.0 SRR10815962 0.999530 c361 c45 c4 c6 0.999530 0.998757 0.998115 +SRR23944499 28966 28198 16.0 SRR23944498 0.998684 c362 c301 c256 c16 0.997952 +DRR022927 31111 29077 13.0 DRR022925 0.999731 c363 c15 c27 c32 0.999636 0.999636 0.999636 +ERR16779740 27690 26794 8.0 ERR18000346 0.998567 c364 c302 c257 c23 0.998137 +ERR18000240 28113 27321 8.0 SRR14364163 0.998808 c365 c303 c258 c1 0.996878 +SRR16944321 28871 28264 16.0 SRR10714223 0.999790 c366 c46 c28 c1 0.999790 0.999087 0.996878 +SRR35889013 28590 27854 17.0 ERR17671138 0.998451 c367 c304 c259 c30 0.998451 +SRR11785123 30153 27754 27.0 SRR14364163 0.999585 c368 c44 c10 c1 0.999585 0.998684 0.996878 +ERR12945761 28616 27263 8.0 ERR12832714 0.997733 c369 c305 c260 c103 +SRR13579405 30165 27596 15.0 SRR16944490 0.999692 c370 c47 c69 c10 0.999692 0.999692 0.997740 +ERR12832720 29069 28021 13.0 DRR290038 0.999353 c371 c306 c12 c4 0.999024 0.997372 +SRR25183032 31220 28042 14.0 SRR37934303 0.999292 c372 c307 c32 c18 0.999258 0.997842 +SRR36038401 32248 28658 25.0 SRR36038400 0.999993 c3 c7 c8 c13 0.999959 0.999555 0.999555 0.997653 +SRR12763090 30704 27939 13.0 SRR12763101 0.998538 c373 c308 c261 c5 0.997589 +SRR15010383 28877 27944 29.0 SRR15010405 0.998494 c374 c309 c262 c41 0.998494 +DRR495382 29246 27767 16.0 SRR39796113 0.998835 c375 c310 c263 c4 0.997372 +SRR35748704 30343 28781 14.0 SRR35748710 0.999874 c376 c1 c1 c3 0.999302 0.998600 0.996846 +SRR11977847 28726 28277 16.0 SRR4002443 0.998814 c377 c311 c264 c1 0.996878 +ERR12374157 27596 25042 7.0 ERR14230095 0.997847 c378 c312 c265 c104 +SRR10714256 28872 27514 17.0 SRR16944460 0.999013 c379 c313 c70 c23 0.999013 0.998137 +SRR16539755 31256 28594 14.0 SRR20117969 0.998680 c380 c314 c266 c1 0.996878 +SRR37934311 28630 27945 16.0 ERR12832775 0.998542 c381 c315 c267 c27 0.998030 +SRR617725 28682 28208 10.0 SRR617741 0.999221 c382 c316 c21 c2 0.999040 0.997417 +ERR13159147 27664 26550 8.0 SRR35889077 0.998391 c383 c317 c268 c47 0.998391 +SRR37676778 30216 28341 16.0 SRR27468295 0.998721 c384 c318 c269 c2 0.997417 +SRR10815942 32887 29279 12.0 SRR10815965 0.999201 c385 c319 c63 c50 0.999201 0.999201 +ERR13925066 29140 27494 8.0 SRR32486549 0.999378 c386 c320 c1 c3 0.998600 0.996846 +SRR34883174 31829 28076 13.0 SRR25759124 0.999181 c387 c321 c47 c1 0.999181 0.996878 +SRR7418948 29154 27000 14.0 SRR16539781 0.999258 c388 c322 c4 c6 0.998757 0.998115 +SRR32432796 29371 28433 16.0 SRR16944332 0.997967 c389 c323 c270 c105 +ERR769519 28149 27922 10.0 ERR769514 0.999919 c10 c12 c17 c2 0.999888 0.999839 0.999308 0.997417 +SRR27468288 28242 27808 17.0 SRR27468295 0.999835 c390 c3 c3 c2 0.999689 0.998868 0.997417 +SRR14364151 31120 28229 30.0 SRR22525900 0.999045 c391 c324 c60 c2 0.999045 0.997417 +SRR22525910 28498 27865 17.0 SRR27468274 0.999203 c392 c325 c3 c2 0.998868 0.997417 +SRR20117970 30012 27543 29.0 SRR15010396 0.996240 c393 c326 c271 c106 +SRR25074141 31876 29070 12.0 SRR34883150 0.997223 c394 c327 c272 c107 +ERR14230095 28266 26116 7.0 ERR12374157 0.997847 c395 c328 c273 c108 +DRR290031 29019 28158 16.0 SRR11977816 0.999061 c396 c329 c274 c4 0.997372 +SRR23944278 29527 27543 16.0 SRR23944287 0.998700 c397 c330 c275 c8 0.997568 +SRR28508725 31843 28689 11.0 SRR35834990 0.999556 c398 c331 c1 c3 0.998600 0.996846 +SRR35834985 34186 28818 13.0 SRR35834984 0.999778 c399 c1 c1 c3 0.999302 0.998600 0.996846 +SRR12894195 33301 31255 13.0 SRR12894201 0.998310 c400 c332 c276 c36 0.997771 +SRR23941176 29890 27789 16.0 SRR23941177 0.998524 c401 c333 c277 c11 0.997745 +DRR290853 30064 28338 16.0 DRR290848 0.998486 c402 c334 c278 c19 0.997889 +SRR8759704 29651 27802 15.0 SRR8759703 0.999832 c403 c4 c5 c9 0.999348 0.998866 0.998679 +SRR33264175 29076 28580 17.0 SRR33264173 0.999989 c1 c5 c6 c14 0.999958 0.999958 0.999958 0.999958 +SRR17970486 28349 28089 14.0 SRR17970484 0.999958 c2 c6 c7 c2 0.999937 0.999937 0.999937 0.997417 +SRR24308377 29755 28756 16.0 SRR32486549 0.999915 c8 c1 c1 c3 0.999899 0.999302 0.998600 0.996846 +SRR5676588 30008 28572 11.0 SRR5676593 0.999692 c404 c16 c29 c3 0.999664 0.999664 0.996846 +SRR17181025 29540 28174 15.0 SRR22525894 0.999305 c405 c335 c10 c1 0.998684 0.996878 +SRR23944502 28453 27756 16.0 SRR23944497 0.998782 c406 c336 c279 c16 0.997952 +ERR16779443 28330 27412 8.0 SRR25182966 0.998671 c407 c337 c280 c12 0.997649 +ERR18000355 28241 27315 8.0 SRR16944490 0.998808 c408 c338 c281 c10 0.997740 +SRR16944484 29048 28612 16.0 DRR290038 0.998510 c409 c339 c282 c28 0.997976 +SRR35889047 28772 28102 17.0 SRR35889066 0.999426 c410 c340 c31 c1 0.999126 0.996878 +SRR11785215 30206 28068 26.0 SRR11785123 0.998146 c411 c341 c283 c109 +ERR12945897 27878 27330 8.0 SRR11785123 0.999063 c412 c342 c284 c1 0.996878 +SRR13579336 30333 28699 14.0 SRR36484473 0.998460 c413 c343 c285 c10 0.997740 +ERR12832821 33285 31505 11.0 ERR12832714 0.995869 c414 c344 c286 c110 +SRR25183021 29512 27767 16.0 SRR11785095 0.998550 c415 c345 c287 c15 0.997705 +SRR36038382 30856 28641 26.0 SRR36038401 0.999991 c3 c7 c8 c13 0.999959 0.999555 0.999555 0.997653 +SRR12763086 30837 28459 13.0 SRR37934328 0.999782 c416 c17 c30 c4 0.999761 0.999761 0.997372 +SRR15010397 30561 28126 25.0 SRR27468279 0.998778 c417 c346 c288 c2 0.997417 +DRR495413 29449 27908 16.0 DRR495412 0.999705 c418 c19 c33 c37 0.999696 0.999696 0.999696 +SRR35748759 29565 28634 16.0 SRR35748710 0.999870 c419 c1 c1 c3 0.999302 0.998600 0.996846 +SRR11977811 28613 27990 16.0 DRR290041 0.999191 c420 c347 c71 c4 0.999191 0.997372 +ERR12374154 29219 26866 7.0 SRR22525892 0.997669 c421 c348 c289 c111 +SRR10714212 30645 27696 15.0 SRR10714216 0.998848 c422 c349 c290 c1 0.996878 +SRR16539764 30469 28970 16.0 SRR16539758 0.998609 c423 c350 c291 c33 0.997982 +SRR37934296 29363 28776 16.0 SRR32486549 0.999913 c424 c1 c1 c3 0.999302 0.998600 0.996846 +SRR617720 28132 27664 10.0 SRR617724 0.999853 c425 c18 c16 c1 0.999841 0.999185 0.996878 +ERR13159150 27859 27147 9.0 ERR12832838 0.998815 c426 c351 c292 c12 0.997649 +SRR37676779 30667 28596 16.0 SRR617735 0.998845 c427 c352 c293 c7 0.997393 +SRR10815962 31490 27658 13.0 SRR17181027 0.999530 c428 c45 c4 c6 0.999530 0.998757 0.998115 +ERR13925067 29213 27289 8.0 SRR32486549 0.999256 c429 c353 c1 c3 0.998600 0.996846 +SRR34883150 31202 28056 13.0 SRR16539785 0.998236 c430 c354 c294 c112 +SRR7418944 30043 28013 15.0 SRR15010397 0.997976 c431 c355 c295 c113 +SRR32432814 29719 28717 15.0 SRR32432795 0.999904 c22 c1 c1 c3 0.999904 0.999302 0.998600 0.996846 +ERR769502 28974 28797 10.0 SRR32432794 0.998118 c432 c356 c296 c114 +SRR27468278 28295 27752 17.0 SRR27468274 0.999857 c433 c3 c3 c2 0.999689 0.998868 0.997417 +SRR14364143 31102 28323 30.0 SRR617725 0.999097 c434 c357 c21 c2 0.999040 0.997417 +SRR22525911 30366 29124 15.0 SRR22525912 0.998565 c435 c358 c297 c31 0.997781 +SRR20117974 30462 28185 28.0 SRR20117965 0.999975 c26 c48 c14 c1 0.999975 0.999975 0.999109 0.996878 +SRR25074137 31380 28663 12.0 SRR34883175 0.997924 c436 c359 c298 c115 +ERR14230106 28239 26380 8.0 SRR16944321 0.999086 c437 c360 c299 c1 0.996878 +DRR290043 30353 28894 15.0 SRR35889138 0.997999 c438 c361 c300 c116 +SRR23944274 30430 27982 15.0 SRR23944277 0.998833 c439 c362 c301 c8 0.997568 +SRR28508732 31803 28519 11.0 SRR35834984 0.999449 c440 c363 c1 c3 0.998600 0.996846 +SRR35834990 31998 28795 13.0 SRR35834984 0.999851 c441 c1 c1 c3 0.999302 0.998600 0.996846 +SRR12894194 28916 27930 14.0 SRR12763101 0.998615 c442 c364 c302 c5 0.997589 +SRR23941185 29863 27664 15.0 SRR23941182 0.998688 c443 c365 c303 c11 0.997745 +DRR290851 30369 28464 16.0 DRR290854 0.998705 c444 c366 c304 c19 0.997889 +SRR8759702 28523 27582 16.0 SRR8759706 0.999858 c445 c4 c5 c9 0.999348 0.998866 0.998679 +SRR33264172 29120 28647 16.0 SRR33264175 0.999986 c1 c5 c6 c14 0.999958 0.999958 0.999958 0.999958 +SRR17970479 28398 28196 14.0 SRR17967721 0.999974 c2 c6 c7 c2 0.999937 0.999937 0.999937 0.997417 +SRR24318407 30846 28806 16.0 SRR24318413 0.999898 c446 c1 c1 c3 0.999302 0.998600 0.996846 +SRR5676592 28907 28217 11.0 SRR20117973 0.999536 c447 c41 c65 c5 0.999536 0.999536 0.997589 +SRR17181031 30512 29267 15.0 SRR17181032 0.998105 c448 c367 c305 c117 +ERR15975613 29795 26495 7.0 SRR20117981 0.998369 c449 c368 c306 c118 +ERR16779642 29124 27779 7.0 SRR10815963 0.998877 c450 c369 c307 c4 0.997372 +ERR18000393 28714 27778 8.0 SRR10714227 0.998445 c451 c370 c308 c34 0.997988 +SRR16944332 29761 28857 15.0 SRR22525903 0.999741 c452 c49 c72 c7 0.999741 0.999741 0.997393 +SRR35889138 28975 28553 16.0 SRR35889058 0.998717 c453 c371 c309 c4 0.997372 +SRR11785095 30614 27920 25.0 SRR617724 0.998638 c454 c372 c310 c15 0.997705 +ERR12945838 27947 27370 8.0 SRR27468274 0.999352 c455 c373 c3 c2 0.998868 0.997417 +SRR13579305 28319 27910 15.0 SRR27468279 0.999018 c456 c374 c311 c2 0.997417 +ERR12832712 29353 28302 13.0 DRR290848 0.998242 c457 c375 c312 c19 0.997889 +SRR25183062 29637 27981 16.0 SRR34885653 0.998534 c458 c376 c313 c18 0.997842 +SRR36038343 31341 27951 26.0 SRR36038348 0.999989 c17 c31 c49 c2 0.999989 0.999989 0.999989 0.997417 +SRR12763078 34732 29449 11.0 SRR37934319 0.998308 c459 c377 c314 c119 +SRR15010320 29243 28135 27.0 SRR15010396 0.998966 c460 c378 c315 c22 0.997924 +DRR495421 29360 27801 16.0 DRR495412 0.999697 c461 c19 c33 c37 0.999696 0.999696 0.999696 +SRR35748743 31007 28799 14.0 SRR35748710 0.999839 c462 c1 c1 c3 0.999302 0.998600 0.996846 +SRR11977816 28659 28240 16.0 DRR290038 0.999183 c463 c379 c12 c4 0.999024 0.997372 +ERR12374160 27885 25990 8.0 SRR13579305 0.998182 c464 c380 c316 c120 +SRR10714252 30529 28544 15.0 DRR495375 0.998243 c465 c381 c317 c121 +SRR16539781 28192 27120 17.0 ERR12832815 0.999466 c466 c382 c4 c6 0.998757 0.998115 +SRR37934302 29099 28313 17.0 SRR37934303 0.999959 c25 c42 c32 c18 0.999959 0.999959 0.999258 0.997842 +SRR617737 28516 28070 10.0 SRR617742 0.999850 c467 c50 c73 c1 0.999850 0.999850 0.996878 +ERR13159157 28142 27212 8.0 SRR13579451 0.999099 c468 c383 c35 c28 0.999099 0.997976 +SRR37676777 30391 29041 16.0 SRR27468279 0.998553 c469 c384 c318 c2 0.997417 +SRR10815949 32484 29026 12.0 SRR10815975 0.999527 c470 c33 c52 c42 0.999527 0.999527 0.999527 +ERR13925069 29137 27483 8.0 SRR32486549 0.999372 c471 c385 c1 c3 0.998600 0.996846 +SRR34883149 32541 28636 11.0 SRR34883150 0.997487 c472 c386 c319 c122 +SRR7418933 29176 26914 14.0 SRR16539781 0.999397 c473 c387 c4 c6 0.998757 0.998115 +SRR32432808 28938 27892 15.0 SRR32432807 0.999827 c474 c43 c68 c5 0.999827 0.999827 0.997589 +ERR769514 28190 27933 10.0 ERR769519 0.999919 c10 c12 c17 c2 0.999888 0.999839 0.999308 0.997417 +SRR27468274 28224 27746 17.0 SRR27468282 0.999879 c475 c3 c3 c2 0.999689 0.998868 0.997417 +SRR14364145 32670 28397 29.0 SRR14364161 0.999994 c12 c8 c9 c2 0.999990 0.999690 0.999690 0.997417 +SRR22525896 28799 28186 16.0 SRR15010333 0.998165 c476 c388 c320 c123 +SRR20117979 31841 28761 27.0 SRR20117964 0.998638 c477 c389 c321 c1 0.996878 +SRR25074138 31047 28609 14.0 SRR34883167 0.997116 c478 c390 c322 c124 +ERR14230105 28367 26519 8.0 ERR12374169 0.998397 c479 c391 c323 c51 0.998397 +DRR290037 29147 28010 16.0 SRR11977833 0.999106 c480 c392 c50 c4 0.999106 0.997372 +SRR23944284 29572 27722 16.0 SRR23944275 0.998740 c481 c393 c324 c8 0.997568 +SRR28508735 31294 28798 12.0 SRR28508730 0.999770 c482 c1 c1 c3 0.999302 0.998600 0.996846 +SRR35834986 32355 28715 13.0 SRR35834989 0.999819 c483 c1 c1 c3 0.999302 0.998600 0.996846 +SRR12894193 30472 29030 14.0 SRR14364163 0.998838 c484 c394 c325 c1 0.996878 +SRR23941182 29844 27663 15.0 SRR23941185 0.998688 c485 c395 c326 c11 0.997745 +DRR290850 29496 27887 16.0 DRR290849 0.999673 c486 c51 c74 c2 0.999673 0.999673 0.997417 +SRR8759701 31851 28600 11.0 SRR8759699 0.999217 c487 c396 c5 c9 0.998866 0.998679 +SRR33264171 29300 28643 16.0 SRR33264175 0.999973 c1 c5 c6 c14 0.999958 0.999958 0.999958 0.999958 +SRR17970480 28395 28178 13.0 SRR17967721 0.999974 c2 c6 c7 c2 0.999937 0.999937 0.999937 0.997417 +SRR24318406 30952 28792 16.0 SRR24318409 0.999890 c488 c1 c1 c3 0.999302 0.998600 0.996846 +ERR15975965 27863 25884 7.0 SRR20117969 0.997785 c489 c397 c327 c125 +ERR16779423 28563 26661 7.0 SRR16944321 0.998437 c490 c398 c328 c126 +ERR18000368 28443 27494 8.0 SRR10714227 0.998500 c491 c399 c329 c34 0.997988 +SRR16944460 28386 27822 16.0 SRR10714256 0.999013 c492 c400 c70 c23 0.999013 0.998137 +SRR35889066 28916 28191 16.0 SRR35889047 0.999426 c493 c401 c31 c1 0.999126 0.996878 +SRR11785154 31001 28424 25.0 SRR11785160 0.998806 c494 c402 c330 c52 0.998806 +ERR12945869 28134 27560 8.0 SRR14364163 0.998807 c495 c403 c331 c1 0.996878 +SRR13579310 28626 28157 15.0 SRR16944321 0.998821 c496 c404 c332 c1 0.996878 +ERR12832816 28883 27780 13.0 ERR12832838 0.998784 c497 c405 c333 c12 0.997649 +SRR25183078 32164 29056 14.0 DRR377377 0.997743 c498 c406 c334 c127 +SRR36038395 33278 28720 24.0 SRR36038400 0.999986 c3 c7 c8 c13 0.999959 0.999555 0.999555 0.997653 +SRR12763100 30919 28249 13.0 SRR14584253 0.999911 c13 c20 c20 c1 0.999911 0.999911 0.999371 0.996878 +SRR15010379 28992 27873 28.0 SRR16944404 0.999085 c499 c407 c19 c4 0.999011 0.997372 +DRR495412 29261 27872 16.0 DRR495413 0.999705 c500 c19 c33 c37 0.999696 0.999696 0.999696 +SRR35748710 29925 28781 14.0 SRR35748745 0.999888 c501 c1 c1 c3 0.999302 0.998600 0.996846 +SRR11977849 29685 29264 16.0 SRR35889122 0.999234 c502 c408 c23 c29 0.998911 0.998911 +ERR12374163 28041 25990 7.0 SRR14364163 0.998199 c503 c409 c335 c128 +SRR10714227 30700 28714 15.0 ERR18000355 0.998761 c504 c410 c336 c10 0.997740 +SRR16539776 28741 27793 16.0 SRR16944404 0.998522 c505 c411 c337 c15 0.997705 +SRR37934328 29004 28295 17.0 SRR37934330 0.999954 c21 c17 c30 c4 0.999954 0.999761 0.999761 0.997372 +SRR617734 27675 27150 10.0 SRR16944275 0.999284 c506 c412 c4 c6 0.998757 0.998115 +ERR13159166 27589 26507 9.0 ERR13159168 0.999096 c507 c413 c22 c20 0.999002 0.998007 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SRR15010333 0.998315 c516 c420 c341 c129 +ERR14230096 28449 26523 7.0 ERR18000208 0.998506 c517 c421 c342 c44 0.998506 +DRR290042 29800 28438 16.0 SRR11977816 0.998876 c518 c422 c343 c4 0.997372 +SRR23944281 29635 27677 15.0 SRR23944277 0.999051 c519 c423 c344 c8 0.997568 +SRR28508731 31922 28658 12.0 SRR28508730 0.999706 c520 c1 c1 c3 0.999302 0.998600 0.996846 +SRR35834984 32667 28723 14.0 SRR35834990 0.999851 c521 c1 c1 c3 0.999302 0.998600 0.996846 +SRR12894201 32116 30546 14.0 SRR12894200 0.998354 c522 c424 c345 c36 0.997771 +SRR23941183 29758 27463 15.0 SRR23941186 0.998811 c523 c425 c346 c11 0.997745 +DRR290849 29760 27870 16.0 DRR290850 0.999673 c524 c51 c74 c2 0.999673 0.999673 0.997417 +SRR8759699 30963 27849 13.0 SRR8759704 0.999711 c525 c4 c5 c9 0.999348 0.998866 0.998679 +ERR16779478 28387 27472 8.0 ERR18000290 0.998818 c526 c426 c347 c1 0.996878 +ERR18000154 28211 27376 8.0 SRR13579376 0.999687 c527 c52 c26 c1 0.999687 0.999145 0.996878 +SRR16944458 29516 28744 16.0 SRR16944490 0.998815 c528 c427 c348 c10 0.997740 +SRR35889122 29010 28303 17.0 DRR015106 0.999560 c529 c23 c23 c29 0.999560 0.998911 0.998911 +SRR11785160 30809 28295 26.0 SRR11785154 0.998806 c530 c428 c349 c52 0.998806 +ERR12945896 27714 27084 8.0 SRR25759125 0.999083 c531 c429 c39 c1 0.999083 0.996878 +SRR13579376 28300 27862 16.0 ERR18000154 0.999687 c532 c52 c26 c1 0.999687 0.999145 0.996878 +ERR12832794 29506 28299 13.0 ERR2864483 0.998142 c533 c430 c350 c49 0.998142 +SRR25183004 30606 28878 15.0 SRR12894196 0.998399 c534 c431 c351 c130 +SRR36038346 34272 28843 24.0 SRR36038392 0.999974 c24 c7 c8 c13 0.999974 0.999555 0.999555 0.997653 +SRR14584262 36710 29659 11.0 SRR12763090 0.997986 c535 c432 c352 c131 +SRR15010396 30995 28104 25.0 SRR15010320 0.998966 c536 c433 c353 c22 0.997924 +DRR495379 29509 27890 16.0 SRR11977848 0.998400 c537 c434 c354 c4 0.997372 +SRR35748739 30520 28800 15.0 SRR37934296 0.999892 c538 c1 c1 c3 0.999302 0.998600 0.996846 +SRR11977865 28416 27979 16.0 SRR11977848 0.998544 c539 c435 c355 c5 0.997589 +ERR12374155 27849 25631 7.0 SRR16287627 0.996926 c540 c436 c356 c132 +SRR10714223 30659 28091 15.0 SRR16944321 0.999790 c541 c46 c28 c1 0.999790 0.999087 0.996878 +SRR16539775 28580 27370 17.0 SRR20117971 0.998846 c542 c437 c357 c5 0.997589 +SRR37934316 28323 27677 17.0 SRR12894197 0.999339 c543 c438 c16 c1 0.999185 0.996878 +SRR617742 28525 28043 10.0 SRR617737 0.999850 c544 c50 c73 c1 0.999850 0.999850 0.996878 +ERR13159174 27515 26900 9.0 DRR015102 0.998838 c545 c439 c358 c15 0.997705 +SRR37676776 31095 28737 16.0 SRR10714227 0.998652 c546 c440 c359 c10 0.997740 +SRR10815947 32067 28041 13.0 DRR495398 0.998688 c547 c441 c360 c5 0.997589 +ERR13925075 29142 27207 7.0 SRR32486549 0.999269 c548 c442 c1 c3 0.998600 0.996846 +SRR34883188 31106 28181 14.0 SRR20117971 0.998319 c549 c443 c361 c22 0.997924 +SRR7418936 29813 27742 13.0 DRR290040 0.998073 c550 c444 c362 c133 +SRR32432797 29217 28071 16.0 SRR32432800 0.999879 c551 c10 c13 c21 0.999651 0.999409 0.999409 +ERR769508 28374 28198 10.0 SRR13579305 0.998606 c552 c445 c363 c2 0.997417 +SRR27468282 28254 27763 17.0 SRR27468274 0.999879 c553 c3 c3 c2 0.999689 0.998868 0.997417 +SRR14364158 30983 28351 29.0 SRR14364145 0.999990 c12 c8 c9 c2 0.999990 0.999690 0.999690 0.997417 +SRR22525903 29430 28714 16.0 SRR16944332 0.999741 c554 c49 c72 c7 0.999741 0.999741 0.997393 +SRR20117969 30457 28169 28.0 SRR11977843 0.999038 c555 c446 c364 c1 0.996878 +SRR25074135 29995 28456 15.0 SRR10714256 0.998172 c556 c447 c365 c134 +ERR14230100 28652 26900 8.0 SRR37676797 0.998436 c557 c448 c366 c35 0.997851 +DRR290041 29236 28043 16.0 SRR11977811 0.999191 c558 c449 c71 c4 0.999191 0.997372 +SRR23944287 29649 27547 15.0 SRR23944283 0.999155 c559 c450 c66 c8 0.999155 0.997568 +SRR28508730 31062 28612 13.0 SRR32486549 0.999813 c560 c1 c1 c3 0.999302 0.998600 0.996846 +SRR35834988 32901 28603 13.0 SRR35834984 0.999653 c561 c1 c1 c3 0.999302 0.998600 0.996846 +SRR12894198 31361 28922 13.0 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b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_hortae.clones.tsv @@ -0,0 +1,6 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR24718917 32767 31597 14.0 SRR24718918 0.997099 c1 c1 c1 c1 +SRR24718919 30699 29672 15.0 SRR24718918 0.994978 c2 c2 c2 c2 +SRR24718918 32636 30966 14.0 SRR24718917 0.997099 c3 c3 c3 c3 +SRR35107300 30589 30044 14.0 SRR24718919 0.991810 c4 c4 c4 c4 +SRR9691931 30012 24156 22.0 SRR24718919 0.982663 c5 c5 c5 c5 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_latus.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_latus.clones.tsv new file mode 100644 index 00000000..a4b7faf4 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_latus.clones.tsv @@ -0,0 +1,7 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 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SRR10592626 0.999621 c1 c1 c1 c1 0.999621 0.999621 0.999621 +SRR10592625 32823 30909 12.0 SRR10592626 0.994948 c2 c2 c2 c2 +SRR10592626 32542 30826 12.0 SRR10592627 0.999621 c3 c1 c1 c1 0.999621 0.999621 0.999621 +SRR10592635 32363 30064 13.0 SRR32636270 0.995727 c4 c3 c3 c3 +SRR32636272 32579 30573 15.0 SRR32636270 0.996072 c5 c4 c4 c4 +SRR25636131 36641 33502 18.0 SRR25758808 0.995011 c6 c5 c5 c5 +SRR25758808 32057 30829 23.0 SRR25636131 0.995011 c7 c6 c6 c6 +SRR32636270 33209 30467 15.0 SRR32636272 0.996072 c8 c7 c7 c7 +SRR32636271 32182 29316 14.0 SRR32636272 0.995937 c9 c8 c8 c8 +SRR25758806 32972 30573 19.0 SRR25636131 0.994647 c10 c9 c9 c9 +SRR10592634 32322 29988 13.0 SRR32636271 0.995448 c11 c10 c10 c10 +SRR10592628 32145 30376 12.0 SRR10592626 0.995838 c12 c11 c11 c11 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_luchuensis.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_luchuensis.clones.tsv new file mode 100644 index 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c20 c1 c1 c1 0.999407 0.998812 0.998812 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_niger.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_niger.clones.tsv new file mode 100644 index 00000000..7df91959 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_niger.clones.tsv @@ -0,0 +1,132 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR17617283 40047 36450 10.0 SRR17617289 0.999415 c2 c4 c2 c2 0.999069 0.998448 +SRR12819679 37337 36556 13.0 DRR385076 0.990987 c3 c5 c7 c6 +SRR17617280 38952 35125 10.0 SRR17617288 0.995023 c4 c6 c8 c7 +SRR12819683 36384 35717 13.0 SRR2841901 0.995914 c5 c7 c9 c8 +SRR17617281 39958 36274 9.0 SRR17617296 0.996777 c6 c8 c10 c9 +SRR36864153 39584 36672 12.0 SRR27468275 0.999317 c7 c9 c1 c1 0.998590 0.997696 +SRR17617299 40564 36829 9.0 SRR17617287 0.994433 c8 c10 c11 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a/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_tamarii.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_tamarii.clones.tsv new file mode 100644 index 00000000..e2eb32c0 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/aspergillus_tamarii.clones.tsv @@ -0,0 +1,14 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR10119007 38411 37585 12.0 SRR24718803 0.996666 c1 c1 c1 c1 +SRR8840604 39143 38340 10.0 SRR10119007 0.994227 c2 c2 c2 c2 +SRR10119008 38876 38105 12.0 DRR1095439 0.997558 c3 c3 c3 c3 +DRR1095837 37970 36850 12.0 DRR1095439 0.906552 c4 c4 c4 c4 +SRR24718804 40276 38599 11.0 SRR24718803 0.997223 c5 c5 c5 c5 +DRR1095439 39363 38149 12.0 SRR24718805 0.997662 c6 c6 c6 c6 +SRR24718805 39565 38380 11.0 DRR1095439 0.997662 c7 c7 c7 c7 +SRR24718808 39100 38655 12.0 DRR1095511 0.995663 c8 c8 c8 c8 +SRR24718803 38958 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c64 c32 +SRR21903579 39436 36121 6.0 SRR25928118 0.997569 c65 c65 c65 c33 +SRR26554822 39517 36693 6.0 SRR26554824 0.998517 c66 c66 c66 c1 0.997827 +SRR26554787 39422 36684 6.0 SRR26554824 0.998419 c67 c67 c67 c1 0.997827 +SRR26554799 39947 36404 6.0 SRR26554818 0.998194 c68 c68 c68 c6 0.998109 +SRR21903575 39546 36371 6.0 SRR21903589 0.998126 c69 c69 c69 c3 0.998122 +SRR26554825 39481 36642 6.0 SRR26554824 0.998358 c70 c70 c70 c1 0.997827 +SRR26554785 39989 36606 6.0 SRR26554783 0.998202 c71 c71 c71 c1 0.997827 +SRR26554802 39379 34292 5.0 SRR26554777 0.997552 c72 c72 c72 c34 +SRR26554778 40453 35892 5.0 SRR26554824 0.997659 c73 c73 c73 c35 +SRR26554776 39589 34904 5.0 SRR26554809 0.997661 c74 c74 c74 c36 +SRR26554812 39429 34713 5.0 SRR26554810 0.997716 c75 c75 c75 c37 +SRR26554800 39287 34445 5.0 SRR26554790 0.997552 c76 c76 c76 c38 +SRR26554784 39771 35084 5.0 SRR26554785 0.997786 c77 c77 c77 c39 +SRR26554814 39976 36502 6.0 SRR26554810 0.998400 c78 c78 c78 c1 0.997827 +SRR26554773 39658 35074 5.0 SRR26554804 0.997653 c79 c79 c79 c40 +SRR26554803 40162 36728 6.0 SRR26554794 0.998384 c80 c80 c80 c1 0.997827 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/blumeria_graminis_complex.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/blumeria_graminis_complex.clones.tsv new file mode 100644 index 00000000..a577ff1e --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/blumeria_graminis_complex.clones.tsv @@ -0,0 +1,51 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR654717 32096 19204 3.0 ERR2198089 0.978300 c1 c1 c1 c1 +SRR19456551 52597 39409 4.0 SRR23894720 0.986965 c2 c2 c2 c2 +SRR19456544 51488 38482 4.0 SRR23894720 0.986408 c3 c3 c3 c3 +SRR2153081 40553 24652 3.0 SRR23894720 0.980837 c4 c4 c4 c4 +ERR15476171 38167 23554 3.0 SRR23894720 0.980316 c5 c5 c5 c5 +SRR19456597 71140 43949 3.0 SRR19456583 0.971068 c6 c6 c6 c6 +SRR7299483 42995 26917 3.0 SRR23894720 0.983224 c7 c7 c7 c7 +SRR19456583 53918 41294 4.0 SRR23894720 0.987405 c8 c8 c8 c8 +ERR17163420 29761 19479 3.0 ERR2198089 0.977768 c9 c9 c9 c9 +ERR15465339 39340 24831 3.0 SRR23894720 0.980878 c10 c10 c10 c10 +SRR7299519 38693 22851 3.0 SRR23894720 0.981344 c11 c11 c11 c11 +SRR11548133 55189 39474 3.0 SRR23894720 0.987462 c12 c12 c12 c12 +ERR13759528 35537 20472 3.0 SRR23894720 0.976585 c13 c13 c13 c13 +SRR7299514 42069 25851 3.0 SRR23894720 0.982876 c14 c14 c14 c14 +SRR11470157 48550 10961 2.0 SRR11548116 0.892494 c15 c15 c15 c15 +ERR13762885 35078 19759 3.0 SRR23894720 0.980292 c16 c16 c16 c16 +ERR13759448 32621 19310 3.0 SRR23894720 0.977890 c17 c17 c17 c17 +ERR13762806 33085 19087 3.0 SRR23894720 0.978109 c18 c18 c18 c18 +SRR11548115 52802 32189 3.0 SRR11548117 0.983937 c19 c19 c19 c19 +ERR15465342 32694 19186 3.0 SRR23894720 0.976697 c20 c20 c20 c20 +SRR19456472 52424 39753 4.0 SRR23894720 0.986857 c21 c21 c21 c21 +SRR19456519 52264 37669 4.0 SRR19456544 0.986095 c22 c22 c22 c22 +SRR19456599 52900 39993 4.0 SRR23894720 0.986894 c23 c23 c23 c23 +SRR7299515 39025 22788 3.0 SRR23894720 0.981362 c24 c24 c24 c24 +ERR13762891 34123 19056 3.0 SRR23894720 0.979658 c25 c25 c25 c25 +ERR13761845 35327 20864 3.0 SRR23894720 0.978016 c26 c26 c26 c26 +SRR19456426 60289 39948 3.0 SRR23894720 0.984135 c27 c27 c27 c27 +ERR13759454 33254 19381 3.0 SRR23894720 0.978046 c28 c28 c28 c28 +ERR15476155 33472 19380 3.0 SRR23894720 0.977593 c29 c29 c29 c29 +SRR11548126 54265 40293 4.0 SRR23894720 0.987434 c30 c30 c30 c30 +ERR17163460 29232 19506 3.0 ERR2198089 0.977074 c31 c31 c31 c31 +ERR15476180 32561 18591 3.0 SRR23894720 0.976523 c32 c32 c32 c32 +ERR17163418 30089 20569 3.0 ERR2198089 0.977157 c33 c33 c33 c33 +ERR15476163 32844 18804 3.0 SRR23894720 0.976972 c34 c34 c34 c34 +SRR7299517 41409 25133 3.0 SRR23894720 0.982721 c35 c35 c35 c35 +SRR2153109 19570 8504 2.0 SRR7299517 0.969164 c36 c36 c36 c36 +SRR7299463 41956 25691 3.0 SRR19456583 0.982478 c37 c37 c37 c37 +SRR11548117 53261 32158 3.0 SRR11548115 0.983937 c38 c38 c38 c38 +SRR11548211 51135 33728 3.0 SRR23894720 0.985063 c39 c39 c39 c39 +SRR11548116 41604 25157 3.0 SRR19456544 0.981800 c40 c40 c40 c40 +ERR15465341 33679 19426 3.0 SRR23894720 0.976790 c41 c41 c41 c41 +ERR17163433 27336 19835 4.0 ERR2198089 0.974241 c42 c42 c42 c42 +ERR17163438 32924 19507 3.0 ERR2198089 0.980754 c43 c43 c43 c43 +SRR32133391 39174 23924 3.0 SRR32133380 0.981089 c44 c44 c44 c44 +SRR23894720 55811 41453 4.0 SRR11548133 0.987462 c45 c45 c45 c45 +SRR32133380 36386 23925 3.0 SRR32133369 0.983993 c46 c46 c46 c46 +ERR2198089 71287 59483 6.0 ERR17163438 0.980754 c47 c47 c47 c47 +SRR32133362 54958 40512 4.0 SRR23894720 0.979428 c48 c48 c48 c48 +ERR17070051 31425 18876 3.0 ERR2198089 0.979480 c49 c49 c49 c49 +SRR32133369 47872 33910 4.0 SRR32133380 0.983993 c50 c50 c50 c50 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/botrytis_cinerea.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/botrytis_cinerea.clones.tsv new file mode 100644 index 00000000..3fb5972c --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/botrytis_cinerea.clones.tsv @@ -0,0 +1,339 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR11527094 40779 38986 7.0 SRR11527089 0.996813 c8 c56 c63 c66 +SRR11527088 40156 38184 7.0 SRR11527089 0.996607 c9 c57 c64 c67 +SRR11527091 40051 38117 7.0 SRR11527093 0.998011 c10 c58 c65 c34 0.998011 +SRR11527090 40895 37781 6.0 SRR11527074 0.996607 c11 c59 c66 c68 +SRR11527093 40825 39044 7.0 SRR11527091 0.998011 c12 c60 c67 c34 0.998011 +SRR30921473 40693 39749 12.0 SRR30921461 0.997269 c13 c61 c68 c69 +SRR11527077 41302 39644 7.0 SRR35002780 0.996820 c14 c62 c69 c70 +SRR25074054 42039 41239 11.0 SRR35002463 1.000000 c1 c23 c30 c35 1.000000 1.000000 1.000000 1.000000 +SRR11527072 40180 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15345 14016 32.0 ERR2764745 0.999905 c97 c1 c2 c3 0.999544 0.999544 0.999544 +SRR10551680 15766 14167 29.0 ERR2764723 0.999856 c98 c16 c3 c5 0.999856 0.998667 0.998667 +SRR10551718 13938 9529 4.0 SRR10551735 0.981499 c99 c65 c45 c34 +SRR10551673 15890 14109 30.0 SRR10551735 0.999823 c100 c5 c4 c1 0.999458 0.998796 0.997496 +SRR10551688 20504 18964 19.0 SRR10551679 0.999715 c101 c9 c9 c4 0.999593 0.999230 0.997409 +SRR10551735 16126 14142 28.0 SRR10551731 0.999929 c7 c5 c4 c1 0.999929 0.999458 0.998796 0.997496 +SRR10551687 16243 14099 29.0 SRR10551749 0.999823 c102 c2 c1 c1 0.999492 0.998887 0.997496 +SRR10551676 20721 18968 18.0 SRR10551677 0.999411 c103 c66 c7 c4 0.998792 0.997409 +SRR10551703 13905 10475 39.0 SRR10551683 0.880090 c104 c67 c46 c35 +SRR10551671 20960 18972 20.0 SRR10551751 0.992436 c105 c68 c47 c36 +SRR10551691 15645 13870 30.0 SRR10551692 0.999822 c106 c3 c1 c1 0.999725 0.998887 0.997496 +SRR10551724 15620 14021 31.0 SRR10551732 0.999937 c4 c6 c6 c7 0.999929 0.999757 0.999757 0.999757 +SRR10551704 16617 14053 25.0 SRR2000109 0.999830 c107 c13 c4 c1 0.999830 0.998796 0.997496 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/candida_albicans.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/candida_albicans.clones.tsv new file mode 100644 index 00000000..52eb7360 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/candida_albicans.clones.tsv @@ -0,0 +1,696 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR392813 7705 4186 3.0 SRR397731 0.970457 c41 c51 c57 c49 +SRR393524 7677 4371 3.0 SRR393530 0.970991 c42 c52 c58 c50 +SRR16974326 20745 15539 24.0 SRR12969473 0.999605 c43 c21 c30 c32 0.999605 0.999605 0.999605 +SRR22908976 17664 16065 27.0 SRR28960505 0.999401 c44 c53 c4 c3 0.998913 0.998262 +SRR393517 7621 4260 3.0 SRR393525 0.977103 c45 c54 c59 c51 +SRR393516 7491 4114 3.0 SRR393526 0.986382 c46 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0.999842 0.996109 +SRR36462660 20923 15951 17.0 SRR14902702 0.997712 c323 c294 c245 c181 +SRR943867 13357 12713 10.0 SRR16974326 0.885653 c324 c295 c246 c182 +SRR14595555 1006 566 128.0 SRR21879823 0.962850 c325 c296 c247 c183 +SRR21763240 17826 15352 25.0 SRR21763241 0.999943 c13 c1 c1 c1 0.999927 0.998993 0.998229 0.996109 +SRR24760451 19073 15654 23.0 SRR24760452 0.999936 c16 c10 c1 c1 0.999933 0.999661 0.998229 0.996109 +SRR33614936 19334 15362 19.0 SRR33614938 0.999677 c326 c22 c32 c33 0.999677 0.999677 0.999677 +SRR13587678 16638 15492 26.0 SRR13587854 0.995037 c327 c297 c248 c184 +SRR23500577 18516 15129 16.0 SRR23500777 0.998282 c328 c298 c249 c29 0.998272 +SRR6669869 15348 14627 25.0 SRR6670024 0.999982 c9 c2 c3 c6 0.999892 0.999782 0.999345 0.999345 +SRR30328872 18335 14951 14.0 SRR30328828 0.997622 c329 c299 c250 c185 +SRR27719141 16867 15205 26.0 SRR22908979 0.998979 c330 c300 c251 c1 0.996109 +SRR35658645 17482 15478 25.0 SRR35658637 0.999857 c331 c44 c12 c1 0.999857 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SRR39218567 0.999687 c356 c1 c1 c1 0.998993 0.998229 0.996109 +SRR35896244 15820 14669 27.0 SRR16979455 0.999177 c357 c319 c268 c1 0.996109 +SRR1634782 7003 6653 25.0 SRR1634977 0.999010 c358 c320 c50 c46 0.999010 0.999010 +SRR8324558 18491 15453 27.0 SRR8324559 0.999656 c359 c46 c6 c1 0.999655 0.998478 0.996109 +SRR10209623 15870 15544 16.0 SRR10209624 0.999826 c360 c47 c51 c5 0.999826 0.999826 0.998063 +SRR13268959 5277 4167 102.0 SRR13268954 0.996704 c361 c321 c269 c200 +SRR13858740 16409 15451 29.0 SRR13858736 0.999992 c5 c1 c1 c1 0.999977 0.998993 0.998229 0.996109 +ERR753554 15927 15412 18.0 ERR753552 0.999966 c18 c1 c1 c1 0.999963 0.998993 0.998229 0.996109 +SRR26143894 17615 15406 8.0 SRR26143895 0.994997 c362 c322 c270 c201 +SRR28960505 17033 16104 28.0 SRR22908976 0.999401 c363 c323 c4 c3 0.998913 0.998262 +SRR12169216 18072 15671 23.0 SRR27789944 0.999726 c364 c1 c1 c1 0.998993 0.998229 0.996109 +SRR868699 15029 13939 6.0 SRR34991642 0.998886 c365 c324 c271 c1 0.996109 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0.999144 0.998568 0.998568 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/candidozyma_vulturna.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/candidozyma_vulturna.clones.tsv new file mode 100644 index 00000000..2e73dec9 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/candidozyma_vulturna.clones.tsv @@ -0,0 +1,15 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR28707069 15809 12833 28.0 SRR28707070 0.999946 c2 c1 c1 c1 0.999922 0.999389 0.998601 0.998601 +SRR16988790 14992 12643 40.0 SRR28707070 0.999831 c4 c1 c1 c1 0.999389 0.998601 0.998601 +SRR11091965 15104 12727 57.0 SRR11091966 0.999989 c1 c1 c1 c1 0.999931 0.999389 0.998601 0.998601 +SRR11091966 14572 12735 61.0 SRR11091965 0.999989 c1 c1 c1 c1 0.999931 0.999389 0.998601 0.998601 +SRR28707068 16840 12877 26.0 SRR28707071 0.999906 c5 c1 c1 c1 0.999389 0.998601 0.998601 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b/datasets/reads/sra_survey/pilot/clone_solid/cercospora_beticola.clones.tsv new file mode 100644 index 00000000..f94b705a --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/cercospora_beticola.clones.tsv @@ -0,0 +1,671 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +ERR12318420 33558 31754 6.0 SRR12966185 0.995592 c17 c42 c54 c113 +SRR32805783 34688 33857 12.0 SRR31166836 0.997680 c18 c43 c55 c114 +SRR31166781 34383 33541 13.0 SRR31166624 0.996284 c19 c44 c56 c115 +ERR12084781 33693 32063 7.0 ERR12084760 0.997243 c20 c45 c57 c116 +ERR12084862 33396 31637 6.0 SRR12966347 0.996902 c21 c46 c58 c117 +ERR12084607 33451 31811 7.0 SRR31166808 0.996149 c22 c47 c59 c118 +SRR12966256 34854 33940 13.0 SRR12966260 0.999955 c3 c2 c2 c4 0.999955 0.999411 0.999122 0.999122 +SRR12966271 34839 33521 13.0 SRR12966265 0.999941 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR12966252 36286 34769 12.0 SRR12966350 0.997520 c23 c48 c60 c119 +SRR12966341 34399 33564 13.0 SRR12966265 0.999950 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166634 34188 33444 14.0 SRR31166636 0.999967 c4 c14 c19 c40 0.999967 0.999967 0.999967 0.999967 +SRR31166660 35295 34173 12.0 SRR31166655 0.996396 c24 c49 c61 c120 +SRR31166778 34849 34106 12.0 ERR12084878 0.996024 c25 c50 c62 c121 +SRR1713178 34126 32451 7.0 SRR31166715 0.998318 c26 c51 c63 c6 0.998284 +SRR2309962 15631 11227 4.0 SRR31166607 0.973950 c27 c52 c64 c122 +ERR12084734 33360 31168 6.0 ERR12084780 0.997111 c28 c53 c65 c123 +ERR12084829 33348 31919 7.0 ERR12084809 0.999013 c29 c54 c20 c41 0.999013 0.999013 +ERR12084858 33323 31418 6.0 ERR12084861 0.997173 c30 c55 c66 c124 +SRR12966316 33935 32864 8.0 SRR12966242 0.996430 c31 c56 c67 c125 +SRR31166687 36080 34221 10.0 SRR31166689 0.999427 c32 c57 c4 c11 0.999375 0.999375 +ERR12084747 33405 31701 7.0 ERR12084649 0.998949 c33 c58 c68 c7 0.998699 +SRR12966286 34514 33554 13.0 SRR12966265 0.999947 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR12966211 33957 33187 8.0 SRR12966214 0.999754 c34 c15 c21 c19 0.999754 0.999754 0.998260 +SRR31166791 65660 60172 6.0 SRR31166608 0.992786 c35 c59 c69 c126 +SRR31166688 35091 33664 10.0 SRR31166717 0.996803 c36 c60 c70 c127 +SRR12966318 35043 33301 8.0 SRR12966260 0.999413 c37 c61 c2 c4 0.999122 0.999122 +SRR31166672 35379 34046 11.0 SRR31166682 0.999363 c38 c62 c10 c20 0.999237 0.999237 +ERR12084631 32133 25804 4.0 ERR12084618 0.991704 c39 c63 c71 c128 +SRR12966317 33910 32860 8.0 SRR12966324 0.997137 c40 c64 c72 c129 +SRR31166751 35183 33920 11.0 SRR12966277 0.996783 c41 c65 c73 c130 +ERR12084664 33321 31750 7.0 ERR12084649 0.998933 c42 c66 c74 c7 0.998699 +SRR12966306 33978 33323 8.0 SRR12966336 0.999826 c43 c16 c22 c42 0.999826 0.999826 0.999826 +SRR31166690 35407 34061 11.0 SRR31166670 0.999477 c44 c67 c23 c43 0.999477 0.999477 +ERR12084788 33199 31425 7.0 ERR12084604 0.998891 c45 c68 c75 c44 0.998891 +SRR12966302 33979 33315 8.0 SRR12966231 0.997001 c46 c69 c76 c131 +SRR31166613 35342 34091 12.0 SRR31166761 0.999795 c47 c7 c11 c21 0.999636 0.999636 0.999636 +ERR12084636 33229 31501 7.0 SRR12966328 0.996697 c48 c70 c77 c132 +SRR12966305 33823 33168 8.0 SRR12966322 0.999759 c49 c3 c5 c12 0.999605 0.999605 0.999605 +SRR31166674 35602 34184 11.0 SRR31166689 0.999629 c50 c8 c4 c11 0.999488 0.999375 0.999375 +ERR12084655 33122 30860 6.0 ERR12084705 0.997268 c51 c71 c78 c133 +SRR12966303 34201 33403 8.0 SRR12966238 0.996729 c52 c72 c79 c134 +SRR31166807 62329 53014 6.0 SRR31166716 0.991879 c53 c73 c80 c135 +ERR12084804 33106 31401 7.0 SRR31166776 0.999143 c54 c74 c24 c45 0.999143 0.999143 +SRR12966321 34324 33022 8.0 SRR12966278 0.997274 c55 c75 c81 c136 +SRR31166809 35704 33962 11.0 SRR12966291 0.994259 c56 c76 c82 c137 +ERR12084729 33237 31459 6.0 ERR12084732 0.998775 c57 c77 c83 c46 0.998775 +SRR12966319 34452 33481 8.0 SRR12966251 0.995731 c58 c78 c84 c138 +SRR31166645 34930 33846 13.0 SRR31166607 0.996971 c59 c79 c85 c139 +ERR12084698 33335 30921 6.0 SRR31166732 0.996167 c60 c80 c86 c140 +SRR12966307 33978 33357 8.0 SRR12966277 0.999751 c61 c17 c25 c47 0.999751 0.999751 0.999751 +SRR31166696 34337 33265 13.0 SRR31166843 0.999858 c62 c4 c6 c13 0.999722 0.999722 0.999722 +ERR12084718 30860 29544 7.0 SRR31166681 0.855280 c63 c81 c87 c141 +SRR12966308 33842 33136 8.0 SRR12966265 0.999831 c64 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166750 35091 34166 12.0 SRR31166739 0.999739 c65 c18 c26 c48 0.999739 0.999739 0.999739 +ERR12084794 33278 31428 7.0 ERR12084603 0.998795 c66 c82 c88 c2 0.998477 +SRR12966314 33899 32897 8.0 SRR12966198 0.996736 c67 c83 c89 c142 +SRR31166676 35154 33819 11.0 SRR31166675 0.999736 c68 c19 c27 c8 0.999736 0.999736 0.998194 +ERR12084635 32946 31272 7.0 ERR12084725 0.998798 c69 c84 c90 c49 0.998798 +SRR12966320 34013 32918 8.0 SRR12966324 0.997696 c70 c85 c91 c143 +SRR31166761 34888 33932 13.0 SRR31166613 0.999795 c71 c7 c11 c21 0.999636 0.999636 0.999636 +ERR12084793 33900 31839 6.0 SRR31166831 0.997374 c72 c86 c92 c144 +SRR12966310 35284 33263 8.0 SRR12966265 0.999504 c73 c87 c1 c1 0.998996 0.997096 +SRR31166842 35266 33962 12.0 SRR31166638 0.997126 c74 c88 c93 c145 +ERR12084743 33204 31517 7.0 SRR12966328 0.996394 c75 c89 c94 c146 +SRR12966313 34165 33177 8.0 SRR12966260 0.999710 c76 c2 c2 c4 0.999411 0.999122 0.999122 +SRR31166653 35006 33986 12.0 SRR12966284 0.996600 c77 c90 c95 c147 +ERR12084671 33411 31614 7.0 ERR12084637 0.998688 c78 c91 c96 c50 0.998688 +SRR12966311 34107 32958 8.0 SRR12966343 0.997772 c79 c92 c97 c148 +SRR31166698 35963 33718 9.0 SRR31166704 0.997910 c80 c93 c98 c149 +ERR12084719 33384 31443 6.0 ERR12084711 0.998782 c81 c94 c99 c51 0.998782 +SRR12966309 33809 32981 8.0 SRR12966265 0.999802 c82 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166602 35681 34191 12.0 SRR31166761 0.999735 c83 c7 c11 c21 0.999636 0.999636 0.999636 +ERR12084795 33058 31185 6.0 SRR31166624 0.996744 c84 c95 c100 c150 +SRR12966312 33749 32735 8.0 SRR12966343 0.997792 c85 c96 c101 c151 +SRR31166844 34811 33545 12.0 SRR31166696 0.999812 c86 c4 c6 c13 0.999722 0.999722 0.999722 +ERR12084637 33253 31527 7.0 ERR12084671 0.998688 c87 c97 c102 c50 0.998688 +SRR12966181 34437 33180 8.0 ERR12084778 0.997987 c88 c98 c103 c152 +SRR31166749 35284 34062 11.0 SRR12966240 0.996931 c89 c99 c104 c153 +ERR12084622 32896 31059 7.0 ERR12084755 0.998365 c90 c100 c105 c52 0.998365 +SRR12966182 34132 33206 8.0 SRR12966193 0.998264 c91 c101 c106 c154 +SRR31166692 58862 51915 6.0 SRR31166705 0.991867 c92 c102 c107 c155 +ERR12084832 33301 31648 7.0 SRR31166624 0.996732 c93 c103 c108 c156 +SRR12966180 34408 33473 8.0 SRR12966260 0.999748 c94 c2 c2 c4 0.999411 0.999122 0.999122 +SRR31166689 35810 34244 10.0 SRR31166674 0.999629 c95 c8 c4 c11 0.999488 0.999375 0.999375 +ERR12084613 33278 31522 6.0 ERR12084605 0.998834 c96 c104 c109 c2 0.998477 +SRR12966178 34117 33153 8.0 SRR12966265 0.999765 c97 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166752 35273 33637 10.0 SRR12966228 0.996609 c98 c105 c110 c157 +ERR12084643 33300 31569 7.0 ERR12084716 0.998778 c99 c106 c111 c22 0.998713 +SRR12966176 34322 33227 8.0 SRR12966231 0.996864 c100 c107 c112 c158 +SRR31166718 35998 34002 11.0 SRR31166729 0.999728 c101 c20 c28 c53 0.999728 0.999728 0.999728 +ERR12084820 33224 31605 7.0 SRR12966284 0.996674 c102 c108 c113 c159 +SRR12966177 36262 34349 7.0 SRR12966349 0.998875 c103 c109 c114 c5 0.997610 +SRR31166843 34590 33536 12.0 SRR31166696 0.999858 c104 c4 c6 c13 0.999722 0.999722 0.999722 +ERR12084665 33076 31169 6.0 ERR12084730 0.998679 c105 c110 c115 c54 0.998679 +SRR12966213 33999 33432 8.0 SRR12966224 0.999771 c106 c21 c29 c55 0.999771 0.999771 0.999771 +SRR31166798 36003 34270 12.0 SRR31166787 0.999751 c107 c22 c30 c56 0.999751 0.999751 0.999751 +ERR12084757 33280 31433 6.0 ERR12084758 0.998752 c108 c111 c116 c23 0.998426 +SRR12966290 33477 32823 9.0 SRR12966249 0.999723 c109 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166656 34986 33573 12.0 SRR31166696 0.999790 c110 c4 c6 c13 0.999722 0.999722 0.999722 +ERR12084654 33145 30764 7.0 SRR12966328 0.996154 c111 c112 c117 c160 +SRR12966210 33636 33079 9.0 SRR12966243 0.999823 c112 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166739 35455 34183 12.0 SRR31166750 0.999739 c113 c18 c26 c48 0.999739 0.999739 0.999739 +ERR12084585 50493 39355 4.0 ERR12084588 0.963911 c114 c113 c118 c161 +SRR12966209 33902 33275 8.0 SRR12966236 0.997107 c115 c114 c119 c162 +SRR31166710 34963 33650 11.0 SRR31166709 0.999481 c116 c115 c12 c8 0.998984 0.998194 +ERR12084811 33162 31227 7.0 SRR12966328 0.996304 c117 c116 c120 c163 +SRR12966354 33789 32911 8.0 SRR12966265 0.999810 c118 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166640 56897 49476 7.0 SRR31166692 0.990374 c119 c117 c121 c164 +ERR12084877 33238 31727 7.0 SRR12966269 0.996570 c120 c118 c122 c165 +SRR12966200 34061 33306 8.0 SRR31166715 0.997956 c121 c119 c123 c166 +SRR31166729 35662 34002 12.0 SRR31166718 0.999728 c122 c20 c28 c53 0.999728 0.999728 0.999728 +ERR12084766 32843 31467 7.0 SRR12966240 0.996584 c123 c120 c124 c167 +SRR12966185 35189 34146 8.0 SRR12966222 0.998966 c124 c121 c125 c24 0.998736 +SRR31166671 34991 34032 12.0 SRR31166694 0.996994 c125 c122 c126 c168 +ERR12084815 33192 31605 7.0 ERR12084588 0.997744 c126 c123 c127 c169 +SRR12966175 34233 33551 8.0 SRR31166624 0.996985 c127 c124 c128 c170 +SRR31166831 34874 33510 13.0 SRR31166695 0.999765 c128 c23 c31 c57 0.999765 0.999765 0.999765 +ERR12084813 32620 31050 7.0 SRR12966335 0.996294 c129 c125 c129 c171 +SRR12966168 33772 33124 8.0 SRR12966265 0.999849 c130 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166702 34188 33467 12.0 SRR31166706 0.999461 c131 c126 c3 c3 0.999036 0.997734 +ERR12084733 33364 31682 7.0 ERR12084780 0.997230 c132 c127 c130 c172 +SRR12966216 33789 33194 8.0 SRR12966265 0.999878 c133 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166682 35690 34071 10.0 SRR31166677 0.999422 c134 c128 c10 c20 0.999237 0.999237 +ERR12084606 33134 31269 6.0 SRR31166842 0.996247 c135 c129 c131 c173 +SRR12966355 33730 33125 8.0 SRR12966265 0.999876 c136 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166675 34552 33675 13.0 SRR31166676 0.999736 c137 c19 c27 c8 0.999736 0.999736 0.998194 +ERR12084695 33317 31682 7.0 SRR12966269 0.996429 c138 c130 c132 c174 +SRR12966212 33596 33039 9.0 SRR12966287 0.999795 c139 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166792 34711 33966 13.0 SRR12966222 0.995788 c140 c131 c133 c175 +ERR12084805 33151 31236 6.0 ERR12084657 0.998743 c141 c132 c134 c25 0.998632 +SRR12966186 33920 33215 8.0 SRR12966187 0.999637 c142 c24 c32 c58 0.999637 0.999637 0.999637 +SRR31166706 34614 33930 12.0 SRR31166703 0.999686 c143 c25 c3 c3 0.999686 0.999036 0.997734 +ERR12084730 33249 31608 7.0 ERR12084665 0.998679 c144 c133 c135 c54 0.998679 +SRR12966205 33809 33265 8.0 SRR12966282 0.997940 c145 c134 c136 c176 +SRR31166684 36290 34111 10.0 SRR31166673 0.999550 c146 c26 c33 c59 0.999550 0.999550 0.999550 +ERR12084711 33488 31793 7.0 ERR12084719 0.998782 c147 c135 c137 c51 0.998782 +SRR12966199 33930 33222 9.0 SRR31166606 0.998117 c148 c136 c138 c14 0.998003 +SRR31166788 54950 46599 8.0 SRR31166806 0.988566 c149 c137 c139 c177 +ERR12084754 33418 31923 7.0 ERR12084621 0.998865 c150 c138 c140 c60 0.998865 +SRR12966224 34034 33378 8.0 SRR12966213 0.999771 c151 c21 c29 c55 0.999771 0.999771 0.999771 +SRR31166600 34882 33988 12.0 SRR31166606 0.999852 c152 c9 c13 c14 0.999824 0.999824 0.998003 +ERR12084641 32950 31283 7.0 ERR12084754 0.996793 c153 c139 c141 c178 +SRR12966197 33691 33215 9.0 SRR12966231 0.999819 c154 c10 c14 c26 0.999801 0.999801 0.999801 +SRR31166648 33968 33325 13.0 SRR31166622 0.997347 c155 c140 c142 c179 +ERR12084688 33499 31546 6.0 ERR12084639 0.998712 c156 c141 c143 c27 0.998589 +SRR12966293 39829 38783 10.0 SRR12966231 0.993869 c157 c142 c144 c180 +SRR31166820 35889 34012 11.0 SRR31166742 0.996566 c158 c143 c145 c181 +ERR12084796 33163 31280 6.0 SRR12966283 0.995816 c159 c144 c146 c182 +SRR12966299 34183 33558 14.0 SRR12966298 0.999948 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166748 35707 33904 10.0 SRR31166657 0.996893 c160 c145 c147 c183 +ERR12084799 33291 31103 6.0 SRR12966230 0.995706 c161 c146 c148 c184 +SRR12966274 39477 37961 8.0 SRR12966332 0.995926 c162 c147 c149 c185 +SRR31166652 34563 33838 13.0 SRR31166607 0.999922 c5 c27 c34 c28 0.999922 0.999922 0.999922 0.998351 +ERR12084669 33070 31414 7.0 SRR12966350 0.996011 c163 c148 c150 c186 +SRR12966234 34273 33576 13.0 SRR12966265 0.999965 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166685 34644 33854 12.0 SRR31166670 0.996576 c164 c149 c151 c187 +ERR12084808 33344 31702 7.0 ERR12084677 0.998915 c165 c150 c152 c15 0.998823 +SRR12966287 34275 33557 13.0 SRR12966265 0.999967 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166776 35812 33756 11.0 ERR12084804 0.999143 c166 c151 c24 c45 0.999143 0.999143 +ERR12084632 33233 31022 6.0 SRR12966260 0.996604 c167 c152 c153 c188 +SRR12966189 33928 33349 8.0 SRR12966289 0.998112 c168 c153 c154 c189 +SRR31166662 53662 45132 6.0 SRR31166755 0.988681 c169 c154 c155 c190 +ERR12084690 33266 31354 7.0 SRR12966350 0.996386 c170 c155 c156 c191 +SRR12966325 34485 33747 14.0 SRR12966291 0.997394 c171 c156 c157 c192 +SRR31166669 35374 33852 11.0 SRR31166680 0.997708 c172 c157 c158 c193 +ERR12084736 33562 31783 7.0 ERR12084749 0.996660 c173 c158 c159 c194 +SRR12966281 34538 33677 13.0 SRR12966333 0.999940 c6 c28 c35 c61 0.999940 0.999940 0.999940 0.999940 +SRR31166638 34763 33767 13.0 SRR31166652 0.998092 c174 c159 c160 c195 +ERR12084692 33073 31111 6.0 ERR12084721 0.998674 c175 c160 c161 c9 0.998566 +SRR12966265 34304 33581 13.0 SRR12966287 0.999967 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166646 36435 33740 11.0 SRR31166639 0.999625 c176 c29 c36 c62 0.999625 0.999625 0.999625 +ERR12084693 32753 31161 7.0 SRR31166775 0.996343 c177 c161 c162 c196 +SRR12966332 34340 33580 13.0 SRR12966265 0.999965 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166708 35631 33811 11.0 SRR31166704 0.999102 c178 c162 c37 c3 0.999102 0.997734 +ERR12084725 32947 31336 7.0 ERR12084635 0.998798 c179 c163 c163 c49 0.998798 +SRR12966258 34409 33544 13.0 SRR12966176 0.996574 c180 c164 c164 c197 +SRR31166651 63528 56279 7.0 SRR31166607 0.969431 c181 c165 c165 c198 +ERR12084816 33164 31004 6.0 SRR31166808 0.996739 c182 c166 c166 c199 +SRR12966267 34180 33579 13.0 SRR12966265 0.999966 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166712 35449 33660 10.0 SRR31166706 0.999436 c183 c167 c3 c3 0.999036 0.997734 +ERR12084578 33313 31481 7.0 SRR12966328 0.996242 c184 c168 c167 c200 +SRR12966300 34558 33941 13.0 SRR12966349 0.999930 c7 c11 c15 c5 0.999930 0.999625 0.999625 0.997610 +SRR31166783 34789 33287 13.0 SRR12966284 0.995430 c185 c169 c168 c201 +ERR12084772 33460 31644 7.0 ERR12084605 0.998911 c186 c170 c169 c2 0.998477 +SRR12966226 34258 33614 14.0 SRR12966234 0.998501 c187 c171 c170 c1 0.997096 +SRR31166812 35189 34056 12.0 SRR31166624 0.998480 c188 c172 c171 c63 0.998480 +ERR12084758 33430 31932 7.0 ERR12084757 0.998752 c189 c173 c172 c23 0.998426 +SRR12966285 34722 33890 13.0 SRR12966237 0.999946 c8 c5 c7 c16 0.999946 0.999570 0.999570 0.999570 +SRR31166673 36235 34141 11.0 SRR31166684 0.999550 c190 c26 c33 c59 0.999550 0.999550 0.999550 +ERR12084792 32719 30465 6.0 ERR12084753 0.998463 c191 c174 c173 c64 0.998463 +SRR12966249 34206 33413 14.0 SRR12966265 0.999940 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166784 44973 38555 10.0 SRR31166624 0.993724 c192 c175 c174 c202 +ERR12084817 32898 31339 7.0 ERR12084763 0.996394 c193 c176 c175 c203 +SRR12966298 34318 33669 13.0 SRR12966299 0.999948 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166694 39097 35183 11.0 SRR31166671 0.996994 c194 c177 c176 c204 +ERR12084659 33215 31514 7.0 ERR12084624 0.998769 c195 c178 c177 c29 0.998681 +SRR12966280 34342 33599 13.0 SRR12966265 0.999963 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166717 34702 33630 13.0 SRR31166710 0.999103 c196 c179 c12 c8 0.998984 0.998194 +ERR12084639 33365 31712 7.0 ERR12084748 0.998713 c197 c180 c178 c27 0.998589 +SRR12966336 34745 33770 13.0 SRR12966306 0.999826 c198 c16 c22 c42 0.999826 0.999826 0.999826 +SRR31166808 34755 33805 13.0 SRR31166740 0.998123 c199 c181 c179 c65 0.998123 +ERR12084789 33106 31467 7.0 ERR12084600 0.998608 c200 c182 c180 c66 0.998608 +SRR12966260 34779 33924 13.0 SRR12966256 0.999955 c3 c2 c2 c4 0.999955 0.999411 0.999122 0.999122 +SRR31166811 34513 33600 13.0 SRR31166831 0.996972 c201 c183 c181 c205 +ERR12084775 32975 31397 7.0 ERR12084748 0.997412 c202 c184 c182 c206 +SRR12966330 34414 33520 14.0 SRR12966265 0.999950 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166813 35868 34182 12.0 SRR12966200 0.997275 c203 c185 c183 c207 +ERR12084777 33049 31234 7.0 SRR31166637 0.996051 c204 c186 c184 c208 +SRR12966335 34273 33369 13.0 SRR31166624 0.996806 c205 c187 c185 c209 +SRR31166806 34355 33421 13.0 SRR31166607 0.998386 c206 c188 c186 c28 0.998351 +ERR12084651 33312 31707 7.0 SRR31166657 0.997139 c207 c189 c187 c210 +SRR12966294 34803 33900 13.0 SRR12966322 0.997517 c208 c190 c188 c211 +SRR31166680 35036 33820 11.0 SRR31166679 0.999579 c209 c30 c38 c67 0.999579 0.999579 0.999579 +ERR12084755 32827 31273 7.0 ERR12084622 0.998365 c210 c191 c189 c52 0.998365 +SRR12966229 34122 33391 13.0 SRR12966347 0.997183 c211 c192 c190 c212 +SRR31166608 57652 48368 6.0 SRR31166791 0.992786 c212 c193 c191 c213 +ERR12084699 33094 31501 7.0 SRR12966244 0.996390 c213 c194 c192 c214 +SRR12966276 34458 33594 13.0 SRR12966265 0.999960 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166707 36057 34055 11.0 SRR12966291 0.994334 c214 c195 c193 c215 +ERR12084650 33351 31650 7.0 ERR12084618 0.998909 c215 c196 c194 c2 0.998477 +SRR12966264 34387 33552 13.0 SRR12966265 0.999962 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166703 35434 33874 11.0 SRR31166706 0.999686 c216 c25 c3 c3 0.999686 0.999036 0.997734 +ERR12084790 33232 31366 7.0 SRR31166624 0.996654 c217 c197 c195 c216 +SRR12966269 35758 34113 13.0 SRR12966237 0.999786 c218 c5 c7 c16 0.999570 0.999570 0.999570 +SRR31166657 35341 34193 11.0 SRR31166732 0.998659 c219 c198 c196 c68 0.998659 +ERR12084694 33364 31071 6.0 ERR12084860 0.996224 c220 c199 c197 c217 +SRR12966239 34450 33573 13.0 SRR12966265 0.999964 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166655 35423 34085 11.0 SRR12966277 0.996623 c221 c200 c198 c218 +ERR12084876 33594 32046 7.0 ERR12084755 0.997260 c222 c201 c199 c219 +SRR12966295 34661 33765 13.0 SRR12966291 0.996931 c223 c202 c200 c220 +SRR31166737 35337 34080 11.0 SRR12966225 0.996741 c224 c203 c201 c221 +ERR12084874 33561 32082 7.0 SRR12966181 0.997051 c225 c204 c202 c222 +SRR12966296 34725 33566 13.0 SRR12966265 0.999942 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166681 61700 55794 6.0 SRR31166678 0.996798 c226 c205 c203 c223 +ERR12084582 44832 35743 4.0 SRR31166742 0.990628 c227 c206 c204 c224 +SRR12966231 34506 33656 13.0 SRR12966339 0.999931 c9 c10 c14 c26 0.999931 0.999801 0.999801 0.999801 +SRR31166794 38132 33676 12.0 SRR31166608 0.986580 c228 c207 c205 c225 +ERR12084748 33420 31572 7.0 ERR12084639 0.998713 c229 c208 c206 c27 0.998589 +SRR12966284 34067 33282 14.0 SRR12966272 0.999941 c10 c31 c39 c69 0.999941 0.999941 0.999941 0.999941 +SRR31166814 33989 33226 13.0 SRR31166648 0.996829 c230 c209 c207 c226 +ERR12084609 33415 31960 7.0 SRR12966328 0.996603 c231 c210 c208 c227 +SRR12966214 33905 33240 8.0 SRR12966211 0.999754 c232 c15 c21 c19 0.999754 0.999754 0.998260 +SRR31166695 35775 33874 11.0 SRR31166831 0.999765 c233 c23 c31 c57 0.999765 0.999765 0.999765 +ERR12084764 32972 31335 7.0 ERR12084758 0.998726 c234 c211 c209 c23 0.998426 +SRR12966292 34866 33993 13.0 ERR12084662 0.996855 c235 c212 c210 c228 +SRR31166643 34762 33837 13.0 SRR12966336 0.996434 c236 c213 c211 c229 +ERR12084783 33409 31508 6.0 ERR12084860 0.998653 c237 c214 c212 c30 0.998450 +SRR12966297 34701 33787 13.0 SRR12966214 0.998277 c238 c215 c213 c19 0.998260 +SRR31166654 35342 34065 11.0 SRR12966228 0.996789 c239 c216 c214 c230 +ERR12084612 33212 31407 7.0 ERR12084605 0.998816 c240 c217 c215 c2 0.998477 +SRR12966255 34498 33547 13.0 SRR12966265 0.999961 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166705 60458 51975 5.0 SRR31166692 0.991867 c241 c218 c216 c231 +ERR12084791 33242 31411 7.0 SRR31166732 0.996274 c242 c219 c217 c232 +SRR12966245 34729 33765 13.0 SRR12966250 0.999942 c11 c32 c40 c5 0.999942 0.999942 0.999942 0.997610 +SRR31166841 34558 33891 13.0 SRR31166824 0.997684 c243 c220 c218 c233 +ERR12084728 33558 32062 7.0 ERR12084625 0.999089 c244 c221 c41 c31 0.999089 0.998775 +SRR12966238 34418 33555 13.0 SRR12966350 0.998060 c245 c222 c219 c234 +SRR31166736 35030 33970 12.0 SRR31166732 0.997318 c246 c223 c220 c235 +ERR12084767 33293 31688 7.0 SRR31166657 0.996738 c247 c224 c221 c236 +SRR12966250 34647 33754 13.0 SRR12966245 0.999942 c11 c32 c40 c5 0.999942 0.999942 0.999942 0.997610 +SRR31166787 36044 34285 11.0 SRR31166798 0.999751 c248 c22 c30 c56 0.999751 0.999751 0.999751 +ERR12084822 33445 31869 7.0 ERR12084618 0.998985 c249 c225 c222 c2 0.998477 +SRR12966263 34497 33567 13.0 SRR12966265 0.999955 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166670 34926 34164 12.0 SRR31166690 0.999477 c250 c226 c23 c43 0.999477 0.999477 +ERR12084875 33267 31710 7.0 SRR31166624 0.997554 c251 c227 c223 c237 +SRR12966244 34563 33731 13.0 SRR12966228 0.996889 c252 c228 c224 c238 +SRR31166823 34498 33646 13.0 SRR31166840 0.997833 c253 c229 c225 c239 +ERR12084872 33414 31790 7.0 SRR12966269 0.996551 c254 c230 c226 c240 +SRR12966259 34509 33572 13.0 SRR12966265 0.999955 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166829 34527 33734 13.0 SRR31166836 0.997674 c255 c231 c227 c241 +ERR12084593 33370 31682 7.0 ERR12084605 0.998920 c256 c232 c228 c2 0.998477 +SRR12966346 34506 33576 13.0 SRR12966265 0.999952 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166636 34180 33440 13.0 SRR31166634 0.999967 c4 c14 c19 c40 0.999967 0.999967 0.999967 0.999967 +ERR12084652 33202 31300 6.0 ERR12084657 0.998707 c257 c233 c229 c25 0.998632 +SRR12966283 34924 33884 13.0 SRR12966328 0.997274 c258 c234 c230 c242 +SRR31166826 34627 33760 13.0 SRR31166835 0.996422 c259 c235 c231 c243 +ERR12084628 33142 31696 7.0 ERR12084756 0.998875 c260 c236 c232 c70 0.998875 +SRR12966253 34572 33549 13.0 SRR12966265 0.999965 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166759 34416 33744 13.0 SRR12966350 0.996427 c261 c237 c233 c244 +ERR12084713 33051 30866 6.0 SRR31166742 0.996300 c262 c238 c234 c245 +SRR12966288 34507 33653 13.0 SRR12966205 0.997227 c263 c239 c235 c246 +SRR31166821 34738 33854 13.0 SRR31166838 0.999956 c12 c33 c42 c71 0.999956 0.999956 0.999956 0.999956 +ERR12084740 33134 31223 6.0 SRR31166825 0.996065 c264 c240 c236 c247 +SRR12966236 34709 33714 13.0 SRR12966184 0.999753 c265 c34 c43 c72 0.999753 0.999753 0.999753 +SRR31166818 34575 33810 13.0 SRR31166834 0.997523 c266 c241 c237 c248 +ERR12084818 33105 31272 7.0 SRR12966244 0.996158 c267 c242 c238 c249 +SRR12966344 34441 33611 13.0 SRR12966332 0.999958 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166838 34638 33862 13.0 SRR31166821 0.999956 c12 c33 c42 c71 0.999956 0.999956 0.999956 0.999956 +ERR12084843 33310 31759 7.0 ERR12084839 0.998774 c268 c243 c239 c32 0.998745 +SRR12966242 34880 33796 13.0 SRR12966231 0.997040 c269 c244 c240 c250 +SRR31166835 34735 33892 13.0 SRR31166830 0.997153 c270 c245 c241 c251 +ERR12084610 32916 31329 7.0 ERR12084592 0.998659 c271 c246 c242 c33 0.998634 +SRR12966243 34336 33469 13.0 SRR12966265 0.999944 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166828 34451 33709 13.0 SRR31166840 0.998347 c272 c247 c243 c73 0.998347 +ERR12084625 33595 32143 7.0 ERR12084728 0.999089 c273 c248 c41 c31 0.999089 0.998775 +SRR12966327 34713 33584 13.0 SRR12966265 0.999945 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166824 34718 33938 13.0 SRR31166822 0.998150 c274 c249 c244 c74 0.998150 +ERR12084780 33385 31749 7.0 ERR12084733 0.997230 c275 c250 c245 c252 +SRR12966352 34535 33579 13.0 SRR12966265 0.999957 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166819 34374 33633 13.0 SRR31166840 0.997252 c276 c251 c246 c253 +ERR12084668 33084 31053 6.0 SRR31166657 0.996317 c277 c252 c247 c254 +SRR12966324 34801 33759 13.0 SRR12966320 0.997696 c278 c253 c248 c255 +SRR31166827 34959 33821 13.0 SRR31166825 0.999866 c279 c35 c44 c75 0.999866 0.999866 0.999866 +ERR12084667 33106 31063 6.0 SRR31166742 0.996543 c280 c254 c249 c256 +SRR12966343 34989 33634 13.0 SRR12966265 0.999909 c281 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166738 34950 33967 12.0 SRR31166637 0.996696 c282 c255 c250 c257 +ERR12084738 32961 31358 7.0 SRR31166637 0.995841 c283 c256 c251 c258 +SRR12966228 36102 34150 13.0 SRR12966328 0.997643 c284 c257 c252 c259 +SRR31166825 35537 33953 13.0 SRR31166827 0.999866 c285 c35 c44 c75 0.999866 0.999866 0.999866 +ERR12084745 33203 31613 7.0 ERR12084730 0.996725 c286 c258 c253 c260 +SRR12966301 34329 33479 14.0 SRR12966299 0.999937 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166840 35646 33922 13.0 SRR31166828 0.998347 c287 c259 c254 c73 0.998347 +ERR12084844 33137 31416 7.0 ERR12084850 0.998677 c288 c260 c255 c17 0.998531 +SRR12966347 34344 33343 13.0 SRR31166715 0.997948 c289 c261 c256 c261 +SRR31166701 37188 33635 9.0 SRR31166702 0.998931 c290 c262 c257 c3 0.997734 +ERR12084756 33366 31719 7.0 ERR12084628 0.998875 c291 c263 c258 c70 0.998875 +SRR12966277 35419 33854 13.0 SRR12966307 0.999751 c292 c17 c25 c47 0.999751 0.999751 0.999751 +SRR31166830 34629 33811 13.0 SRR31166834 0.997366 c293 c264 c259 c262 +ERR12084782 33485 31794 7.0 ERR12084605 0.998979 c294 c265 c260 c2 0.998477 +SRR12966349 34891 33878 13.0 SRR12966300 0.999930 c7 c11 c15 c5 0.999930 0.999625 0.999625 0.997610 +SRR31166837 34474 33690 13.0 SRR31166830 0.997092 c295 c266 c261 c263 +ERR12084741 33277 31609 7.0 ERR12084819 0.996797 c296 c267 c262 c264 +SRR12966326 34320 33428 14.0 SRR12966200 0.997284 c297 c268 c263 c265 +SRR31166832 34814 34017 13.0 SRR31166835 0.996746 c298 c269 c264 c266 +ERR12084752 29473 28302 8.0 ERR12084881 0.998330 c299 c270 c265 c76 0.998330 +SRR12966345 34589 33573 13.0 SRR12966332 0.999946 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166836 34532 33786 13.0 SRR32805783 0.997680 c300 c271 c266 c267 +ERR12084833 33302 31657 7.0 SRR12966228 0.996372 c301 c272 c267 c268 +SRR12966261 34438 33529 13.0 SRR12966265 0.999951 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166839 35076 33839 13.0 SRR31166840 0.997198 c302 c273 c268 c269 +ERR12084581 33312 31558 7.0 ERR12084605 0.998942 c303 c274 c269 c2 0.998477 +SRR12966233 34172 33260 13.0 SRR12966284 0.996955 c304 c275 c270 c270 +SRR31166833 34532 33795 13.0 SRR31166821 0.997571 c305 c276 c271 c271 +ERR12084834 33505 31817 7.0 SRR12966328 0.996618 c306 c277 c272 c272 +SRR12966289 36232 35219 12.0 SRR12966350 0.998871 c307 c278 c273 c1 0.997096 +SRR31166834 34341 33647 13.0 SRR31166818 0.997523 c308 c279 c274 c273 +ERR12084831 33271 31491 7.0 ERR12084620 0.998775 c309 c280 c275 c77 0.998775 +SRR12966240 35554 34038 13.0 ERR12084875 0.997199 c310 c281 c276 c274 +SRR31166822 34890 33655 13.0 SRR31166824 0.998150 c311 c282 c277 c74 0.998150 +ERR12084763 33126 31393 7.0 ERR12084760 0.998591 c312 c283 c278 c34 0.998435 +SRR12966230 34605 33724 13.0 SRR12966228 0.997205 c313 c284 c279 c275 +SRR31166606 34633 33696 13.0 SRR31166603 0.999889 c314 c9 c13 c14 0.999824 0.999824 0.998003 +ERR12084779 33536 31875 7.0 SRR31166755 0.995884 c315 c285 c280 c276 +SRR12966273 34573 33546 13.0 SRR12966265 0.999952 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166789 34540 33695 13.0 SRR12966247 0.995086 c316 c286 c281 c277 +ERR12084821 33446 31696 7.0 ERR12084760 0.998826 c317 c287 c282 c34 0.998435 +SRR12966237 34901 33892 13.0 SRR12966285 0.999946 c8 c5 c7 c16 0.999946 0.999570 0.999570 0.999570 +SRR31166775 34537 33677 13.0 SRR31166624 0.997224 c318 c288 c283 c278 +ERR12084881 32794 29100 7.0 ERR12084752 0.998330 c319 c289 c284 c76 0.998330 +SRR12966232 34622 33551 13.0 SRR12966265 0.999950 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166742 34986 34009 12.0 SRR31166741 0.999752 c320 c36 c45 c78 0.999752 0.999752 0.999752 +ERR12084746 33243 31725 7.0 ERR12084878 0.997004 c321 c290 c285 c279 +SRR12966275 34558 33558 13.0 SRR12966265 0.999940 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166786 34387 33420 13.0 SRR12966229 0.994916 c322 c291 c286 c280 +ERR12084623 33422 31864 7.0 SRR12966240 0.996672 c323 c292 c287 c281 +SRR12966328 36225 34245 13.0 SRR12966260 0.999672 c324 c2 c2 c4 0.999411 0.999122 0.999122 +SRR31166658 35277 34011 12.0 SRR31166637 0.997117 c325 c293 c288 c282 +ERR12084584 42321 34080 5.0 ERR12084785 0.963507 c326 c294 c289 c283 +SRR12966225 34737 33625 13.0 SRR12966277 0.996940 c327 c295 c290 c284 +SRR31166644 34640 33851 13.0 ERR12084744 0.996545 c328 c296 c291 c285 +ERR12084680 33205 31513 7.0 ERR12084754 0.995907 c329 c297 c292 c286 +SRR12966291 36690 34497 13.0 SRR12966325 0.997394 c330 c298 c293 c287 +SRR31166728 34612 33973 13.0 SRR31166730 0.999933 c13 c12 c16 c35 0.999933 0.999860 0.999860 0.999860 +ERR12084624 33262 31336 6.0 ERR12084659 0.998769 c331 c299 c294 c29 0.998681 +SRR12966338 34583 33543 13.0 SRR12966253 0.999941 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166713 36073 33589 9.0 SRR31166706 0.999209 c332 c300 c3 c3 0.999036 0.997734 +ERR12084720 51842 40155 4.0 ERR12084876 0.974433 c333 c301 c295 c288 +SRR12966351 34915 33668 13.0 SRR12966350 0.997925 c334 c302 c296 c289 +SRR31166704 34821 33984 12.0 SRR31166706 0.999157 c335 c303 c37 c3 0.999102 0.997734 +ERR12084723 33516 31910 7.0 SRR12966228 0.996408 c336 c304 c297 c290 +SRR12966241 34690 33516 13.0 SRR12966265 0.999946 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166647 34297 33235 13.0 SRR31166808 0.996755 c337 c305 c298 c291 +ERR12084812 33322 31586 7.0 ERR12084780 0.996961 c338 c306 c299 c292 +SRR12966251 37694 36499 12.0 SRR12966350 0.997795 c339 c307 c300 c293 +SRR31166683 36334 34264 9.0 SRR31166670 0.996302 c340 c308 c301 c294 +ERR12084657 33327 31646 7.0 ERR12084805 0.998743 c341 c309 c302 c25 0.998632 +SRR12966247 34921 33751 13.0 SRR31166715 0.998172 c342 c310 c303 c295 +SRR31166659 34610 33628 12.0 SRR12966335 0.996738 c343 c311 c304 c296 +ERR12084739 33309 31755 7.0 SRR12966269 0.996342 c344 c312 c305 c297 +SRR12966174 33700 33084 8.0 SRR12966291 0.996696 c345 c313 c306 c298 +SRR31166815 43545 41801 8.0 SRR12966185 0.991513 c346 c314 c307 c299 +ERR12084596 33314 31590 7.0 SRR31166715 0.996556 c347 c315 c308 c300 +SRR12966278 35090 33704 13.0 SRR12966189 0.997945 c348 c316 c309 c301 +SRR31166716 51784 43712 8.0 SRR31166807 0.991879 c349 c317 c310 c302 +ERR12084760 33496 31887 7.0 ERR12084821 0.998826 c350 c318 c311 c34 0.998435 +SRR12966262 34346 33329 13.0 SRR12966350 0.997351 c351 c319 c312 c303 +SRR31166754 40632 39623 10.0 SRR31166643 0.992667 c352 c320 c313 c304 +ERR12084873 33446 31890 7.0 ERR12084878 0.996784 c353 c321 c314 c305 +SRR12966272 34281 33247 13.0 SRR12966284 0.999941 c10 c31 c39 c69 0.999941 0.999941 0.999941 0.999941 +SRR31166711 36543 34278 9.0 SRR31166708 0.997970 c354 c322 c315 c306 +ERR12084778 33226 31659 7.0 SRR12966181 0.997987 c355 c323 c316 c307 +SRR12966207 33821 33199 9.0 SRR12966208 0.999759 c356 c37 c46 c79 0.999759 0.999759 0.999759 +SRR31166699 35092 33920 11.0 SRR31166700 0.998762 c357 c324 c317 c80 0.998762 +ERR12084744 33376 31949 7.0 SRR31166644 0.996545 c358 c325 c318 c308 +SRR12966193 33866 33204 9.0 SRR12966222 0.999469 c359 c326 c47 c24 0.999469 0.998736 +SRR31166734 34976 33861 12.0 SRR12966350 0.996825 c360 c327 c319 c309 +ERR12084742 33293 31657 7.0 SRR31166808 0.996793 c361 c328 c320 c310 +SRR12966333 34914 33705 13.0 SRR12966281 0.999940 c6 c28 c35 c61 0.999940 0.999940 0.999940 0.999940 +SRR31166730 34944 33959 13.0 SRR31166728 0.999933 c13 c12 c16 c35 0.999933 0.999860 0.999860 0.999860 +ERR12084823 33330 31660 7.0 ERR12084605 0.998976 c362 c329 c321 c2 0.998477 +SRR12966334 34633 33527 13.0 SRR12966265 0.999938 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166679 35254 33716 10.0 SRR31166680 0.999579 c363 c30 c38 c67 0.999579 0.999579 0.999579 +ERR12084819 33081 31364 7.0 ERR12084741 0.996797 c364 c330 c322 c311 +SRR12966339 34729 33602 13.0 SRR12966231 0.999931 c9 c10 c14 c26 0.999931 0.999801 0.999801 0.999801 +SRR31166779 34643 33772 13.0 SRR12966340 0.995271 c365 c331 c323 c312 +ERR12084588 33250 31695 7.0 ERR12084815 0.997744 c366 c332 c324 c313 +SRR12966248 34673 33538 13.0 SRR12966265 0.999945 c1 c1 c1 c1 0.999884 0.999393 0.998996 0.997096 +SRR31166611 35633 33014 7.0 SRR12966257 0.999973 c14 c38 c1 c1 0.999973 0.999973 0.998996 0.997096 +ERR12084594 33482 31832 7.0 ERR12084605 0.998983 c367 c333 c325 c2 0.998477 +SRR12966266 34557 33677 13.0 SRR12966343 0.998002 c368 c334 c326 c314 +SRR31166753 35166 33764 12.0 SRR31166607 0.996936 c369 c335 c327 c315 +ERR12084701 33015 31611 7.0 ERR12084706 0.998782 c370 c336 c328 c9 0.998566 +SRR12966172 33865 33149 8.0 SRR12966265 0.999878 c371 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166715 34667 33883 13.0 SRR12966191 0.999770 c372 c6 c8 c6 0.999629 0.999629 0.998284 +ERR12084621 33271 31479 7.0 ERR12084754 0.998865 c373 c337 c329 c60 0.998865 +SRR12966227 34750 33715 13.0 SRR12966343 0.998163 c374 c338 c330 c316 +SRR31166735 35179 34163 12.0 SRR31166742 0.997010 c375 c339 c331 c317 +ERR12084776 32848 31380 7.0 SRR12966291 0.995380 c376 c340 c332 c318 +SRR12966350 35979 33851 13.0 SRR12966265 0.999688 c377 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166714 37056 34279 9.0 SRR31166706 0.999082 c378 c341 c333 c3 0.997734 +ERR12084751 33243 31398 7.0 ERR12084717 0.998647 c379 c342 c334 c36 0.998537 +SRR12966254 35047 33705 13.0 SRR12966350 0.998083 c380 c343 c335 c319 +SRR31166719 34708 33867 13.0 SRR31166728 0.999889 c381 c12 c16 c35 0.999860 0.999860 0.999860 +ERR12084700 33203 31648 7.0 ERR12084721 0.997846 c382 c344 c336 c320 +SRR12966202 33672 32944 9.0 SRR12966192 0.999659 c383 c3 c5 c12 0.999605 0.999605 0.999605 +SRR31166804 34150 33564 8.0 SRR12966279 1.000000 c15 c39 c48 c81 1.000000 1.000000 1.000000 1.000000 +ERR12084670 32859 30947 7.0 ERR12084754 0.997646 c384 c345 c337 c321 +SRR12966348 34829 33608 13.0 SRR12966343 0.998161 c385 c346 c338 c322 +SRR31166637 34478 33721 13.0 SRR12966266 0.997138 c386 c347 c339 c323 +ERR12084878 33448 31902 7.0 SRR12966185 0.997011 c387 c348 c340 c324 +SRR12966329 35052 33601 13.0 SRR12966198 0.997482 c388 c349 c341 c325 +SRR31166757 34362 33510 13.0 SRR12966350 0.996863 c389 c350 c342 c326 +ERR12084614 33371 31750 7.0 ERR12084605 0.998961 c390 c351 c343 c2 0.998477 +SRR12966192 33788 33154 8.0 SRR12966322 0.999730 c391 c3 c5 c12 0.999605 0.999605 0.999605 +SRR31166686 35627 34017 10.0 SRR31166674 0.999522 c392 c8 c4 c11 0.999488 0.999375 0.999375 +ERR12084773 33013 31166 6.0 SRR12966350 0.996201 c393 c352 c344 c327 +SRR12966167 33840 33152 8.0 SRR12966265 0.999852 c394 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166744 34587 33945 12.0 SRR12966240 0.996861 c395 c353 c345 c328 +ERR12084732 33180 31487 7.0 ERR12084729 0.998775 c396 c354 c346 c46 0.998775 +SRR12966340 36190 34069 13.0 SRR12966349 0.999639 c397 c11 c15 c5 0.999625 0.999625 0.997610 +SRR31166767 64002 59487 6.0 SRR31166768 0.996001 c398 c355 c347 c329 +ERR12084608 33104 31421 7.0 SRR31166624 0.996646 c399 c356 c348 c330 +SRR12966179 33746 33119 8.0 SRR12966265 0.999822 c400 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166740 35237 34032 12.0 SRR31166808 0.998123 c401 c357 c349 c65 0.998123 +ERR12084660 33327 31432 7.0 ERR12084605 0.998837 c402 c358 c350 c2 0.998477 +SRR12966270 36189 33888 13.0 SRR12966237 0.999742 c403 c5 c7 c16 0.999570 0.999570 0.999570 +SRR31166732 35253 34092 12.0 SRR31166657 0.998659 c404 c359 c351 c68 0.998659 +ERR12084814 33114 31368 6.0 SRR31166742 0.996680 c405 c360 c352 c331 +SRR12966257 35925 33361 8.0 SRR31166611 0.999973 c14 c38 c1 c1 0.999973 0.999973 0.998996 0.997096 +SRR31166755 34681 33771 13.0 SRR31166759 0.996383 c406 c361 c353 c332 +ERR12084697 33098 31313 7.0 SRR12966185 0.996433 c407 c362 c354 c333 +SRR12966171 33845 33169 8.0 SRR12966265 0.999875 c408 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166603 34699 33930 12.0 SRR31166606 0.999889 c409 c9 c13 c14 0.999824 0.999824 0.998003 +ERR12084721 33204 31376 7.0 ERR12084701 0.998675 c410 c363 c355 c9 0.998566 +SRR12966190 35040 33633 8.0 SRR12966198 0.997517 c411 c364 c356 c334 +SRR31166639 34077 33269 13.0 SRR31166646 0.999625 c412 c29 c36 c62 0.999625 0.999625 0.999625 +ERR12084774 33156 31654 7.0 SRR31166624 0.996404 c413 c365 c357 c335 +SRR12966220 34176 33403 8.0 SRR31166607 0.997565 c414 c366 c358 c336 +SRR31166774 34434 33640 13.0 SRR12966337 0.995218 c415 c367 c359 c337 +ERR12084620 33485 31715 6.0 ERR12084831 0.998775 c416 c368 c360 c77 0.998775 +SRR12966282 35425 33418 13.0 SRR12966206 0.997952 c417 c369 c361 c338 +SRR31166741 35240 34015 12.0 SRR31166742 0.999752 c418 c36 c45 c78 0.999752 0.999752 0.999752 +ERR12084879 33291 31841 7.0 ERR12084880 0.999061 c419 c370 c17 c18 0.998995 0.998646 +SRR12966337 34981 33478 13.0 SRR12966282 0.997609 c420 c371 c362 c339 +SRR31166609 39584 35376 11.0 SRR31166607 0.997058 c421 c372 c363 c340 +ERR12084706 32985 31211 7.0 ERR12084701 0.998782 c422 c373 c364 c9 0.998566 +SRR12966194 33665 32958 9.0 SRR12966206 0.997800 c423 c374 c365 c341 +SRR31166700 34349 31700 8.0 SRR31166699 0.998762 c424 c375 c366 c80 0.998762 +ERR12084838 33344 31488 6.0 ERR12084839 0.998883 c425 c376 c367 c32 0.998745 +SRR12966235 33850 33180 8.0 SRR12966265 0.999864 c426 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166768 60477 53432 7.0 SRR31166767 0.996001 c427 c377 c368 c342 +ERR12084662 33216 31504 7.0 ERR12084640 0.998797 c428 c378 c369 c82 0.998797 +SRR12966218 33887 33306 8.0 SRR12966221 0.999703 c429 c40 c49 c1 0.999703 0.999703 0.997096 +SRR31166793 34751 34057 12.0 SRR12966324 0.995317 c430 c379 c370 c343 +ERR12084661 32797 31035 7.0 ERR12084646 0.998745 c431 c380 c371 c83 0.998745 +SRR12966206 33761 33248 9.0 SRR12966282 0.997952 c432 c381 c372 c344 +SRR31166605 35033 33709 13.0 SRR31166657 0.997005 c433 c382 c373 c345 +ERR12084765 33060 31324 7.0 ERR12084762 0.998759 c434 c383 c374 c84 0.998759 +SRR12966304 33748 33171 8.0 SRR12966265 0.999868 c435 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166610 33516 32561 7.0 SRR12966268 0.999948 c16 c41 c50 c1 0.999948 0.999948 0.999948 0.997096 +ERR12084750 33305 31756 7.0 ERR12084724 0.998906 c436 c384 c375 c85 0.998906 +SRR12966183 33779 33213 8.0 SRR12966343 0.998390 c437 c385 c376 c1 0.997096 +SRR31166607 34779 33677 13.0 SRR31166652 0.999922 c5 c27 c34 c28 0.999922 0.999922 0.999922 0.998351 +ERR12084759 33056 31481 7.0 ERR12084761 0.998845 c438 c386 c377 c86 0.998845 +SRR12966342 33764 33036 8.0 SRR12966287 0.999807 c439 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166691 53005 46796 6.0 SRR31166706 0.987154 c440 c387 c378 c346 +ERR12084708 33277 31535 7.0 ERR12084687 0.998820 c441 c388 c379 c87 0.998820 +SRR12966315 34018 33179 8.0 SRR12966218 0.998399 c442 c389 c380 c1 0.997096 +SRR31166777 39544 35615 11.0 SRR12966185 0.994704 c443 c390 c381 c347 +ERR12084806 32990 31160 6.0 ERR12084800 0.998615 c444 c391 c382 c88 0.998615 +SRR12966196 33874 33254 8.0 SRR12966302 0.996677 c445 c392 c383 c348 +SRR31166790 34964 34115 12.0 SRR12966199 0.995582 c446 c393 c384 c349 +ERR12084786 33300 31707 7.0 ERR12084770 0.998908 c447 c394 c385 c89 0.998908 +SRR12966184 33931 33055 8.0 SRR12966236 0.999753 c448 c34 c43 c72 0.999753 0.999753 0.999753 +SRR31166678 60349 54234 6.0 SRR31166681 0.996798 c449 c395 c386 c350 +ERR12084880 33216 31604 7.0 ERR12084879 0.999061 c450 c396 c17 c18 0.998995 0.998646 +SRR12966246 33682 33133 9.0 SRR12966265 0.999843 c451 c1 c1 c1 0.999393 0.998996 0.997096 +SRR31166780 34426 33601 13.0 SRR12966185 0.994973 c452 c397 c387 c351 +ERR12084619 33036 31124 6.0 ERR12084599 0.998529 c453 c398 c388 c90 0.998529 +SRR12966191 34051 33224 8.0 SRR31166715 0.999770 c454 c6 c8 c6 0.999629 0.999629 0.998284 +SRR31166769 35112 34362 12.0 SRR12966351 0.996352 c455 c399 c389 c352 +ERR12084696 33339 31594 7.0 ERR12084691 0.998678 c456 c400 c390 c91 0.998678 +SRR12966323 34056 33257 8.0 ERR12084754 0.997121 c457 c401 c391 c353 +SRR31166709 34890 33318 10.0 SRR31166710 0.999481 c458 c402 c12 c8 0.998984 0.998194 +ERR12084846 32917 31141 7.0 ERR12084840 0.998585 c459 c403 c392 c10 0.998310 +SRR12966217 33962 33334 8.0 SRR12966218 0.998354 c460 c404 c393 c1 0.997096 +SRR31166622 34160 33417 14.0 SRR31166806 0.997566 c461 c405 c394 c354 +ERR12084615 33290 31718 7.0 ERR12084592 0.998929 c462 c406 c395 c33 0.998634 +SRR12966208 33820 33246 9.0 SRR12966207 0.999759 c463 c37 c46 c79 0.999759 0.999759 0.999759 +SRR31166620 34427 33774 13.0 SRR31166621 0.999971 c2 c13 c18 c37 0.999964 0.999964 0.999964 0.999964 +ERR12084629 28436 20895 4.0 ERR12084642 0.988224 c464 c407 c396 c355 +SRR12966198 33842 33231 8.0 SRR12966190 0.997517 c465 c408 c397 c356 +SRR31166623 34386 33799 13.0 SRR31166621 0.999967 c2 c13 c18 c37 0.999964 0.999964 0.999964 0.999964 +ERR12084749 33411 31915 7.0 ERR12084722 0.998865 c466 c409 c398 c92 0.998865 +SRR12966215 33248 32531 9.0 SRR12966351 0.997501 c467 c410 c399 c357 +SRR31166621 34404 33789 13.0 SRR31166620 0.999971 c2 c13 c18 c37 0.999964 0.999964 0.999964 0.999964 +ERR12084882 33400 31864 7.0 ERR12084871 0.998925 c468 c411 c400 c93 0.998925 +SRR12966279 34150 33564 8.0 SRR31166804 1.000000 c15 c39 c48 c81 1.000000 1.000000 1.000000 1.000000 +SRR31166677 35658 33800 10.0 SRR31166682 0.999422 c469 c412 c10 c20 0.999237 0.999237 +ERR12084826 33299 31711 7.0 ERR12084801 0.998840 c470 c413 c401 c94 0.998840 +SRR12966203 33891 33189 9.0 SRR31166715 0.999719 c471 c6 c8 c6 0.999629 0.999629 0.998284 +SRR31166624 34454 33833 13.0 SRR31166812 0.998480 c472 c414 c402 c63 0.998480 +ERR12084704 33204 31585 7.0 ERR12084681 0.998811 c473 c415 c403 c95 0.998811 +SRR12966219 33603 32996 9.0 SRR12966243 0.999780 c474 c1 c1 c1 0.999393 0.998996 0.997096 +ERR12084825 33350 31768 7.0 ERR12084798 0.998842 c475 c416 c404 c96 0.998842 +SRR12966204 33850 33088 8.0 SRR31166715 0.999657 c476 c6 c8 c6 0.999629 0.999629 0.998284 +ERR12084616 33204 31684 7.0 ERR12084618 0.998960 c477 c417 c405 c2 0.998477 +SRR12966223 34122 33396 8.0 SRR12966291 0.996668 c478 c418 c406 c358 +ERR12084850 33407 31622 6.0 ERR12084857 0.998870 c479 c419 c407 c17 0.998531 +SRR12966170 33924 33110 8.0 SRR12966265 0.999850 c480 c1 c1 c1 0.999393 0.998996 0.997096 +ERR12084709 33078 31501 7.0 ERR12084689 0.999008 c481 c420 c51 c97 0.999008 0.999008 +SRR12966173 33859 33142 8.0 SRR12966265 0.999855 c482 c1 c1 c1 0.999393 0.998996 0.997096 +ERR12084847 33373 31685 7.0 ERR12084841 0.998772 c483 c421 c408 c98 0.998772 +SRR12966222 34028 33144 9.0 SRR12966193 0.999469 c484 c422 c47 c24 0.999469 0.998736 +ERR12084863 33192 31215 6.0 ERR12084879 0.998776 c485 c423 c409 c18 0.998646 +SRR12966188 33795 33161 9.0 SRR31166607 0.997111 c486 c424 c410 c359 +ERR12084663 33305 31672 7.0 ERR12084647 0.998798 c487 c425 c411 c99 0.998798 +SRR12966169 33805 33171 8.0 SRR12966265 0.999859 c488 c1 c1 c1 0.999393 0.998996 0.997096 +ERR12084787 33311 31786 7.0 ERR12084771 0.998910 c489 c426 c412 c100 0.998910 +SRR12966195 33799 33294 8.0 SRR12966205 0.997021 c490 c427 c413 c360 +ERR12084702 32876 31300 7.0 ERR12084685 0.998837 c491 c428 c414 c101 0.998837 +SRR12966268 33720 33104 9.0 SRR31166610 0.999948 c16 c41 c50 c1 0.999948 0.999948 0.999948 0.997096 +ERR12084828 32534 31164 7.0 ERR12084803 0.998986 c492 c429 c415 c102 0.998986 +SRR12966331 33655 33085 9.0 SRR12966265 0.999833 c493 c1 c1 c1 0.999393 0.998996 0.997096 +ERR12084705 33298 31632 7.0 ERR12084683 0.998789 c494 c430 c416 c103 0.998789 +SRR12966322 33951 33251 8.0 SRR12966305 0.999759 c495 c3 c5 c12 0.999605 0.999605 0.999605 +ERR12084583 32960 31013 7.0 ERR12084597 0.998462 c496 c431 c417 c104 0.998462 +SRR12966187 34141 33219 8.0 SRR12966186 0.999637 c497 c24 c32 c58 0.999637 0.999637 0.999637 +ERR12084710 33235 31689 7.0 ERR12084677 0.998890 c498 c432 c418 c15 0.998823 +SRR12966201 33771 33075 9.0 SRR12966325 0.997102 c499 c433 c419 c361 +ERR12084618 33412 32015 7.0 ERR12084605 0.999118 c500 c434 c9 c2 0.999077 0.998477 +SRR12966166 33952 33067 8.0 SRR12966265 0.999816 c501 c1 c1 c1 0.999393 0.998996 0.997096 +ERR12084712 33072 30510 6.0 ERR12084849 0.996443 c502 c435 c420 c362 +SRR12966221 33662 32934 9.0 SRR12966218 0.999703 c503 c40 c49 c1 0.999703 0.999703 0.997096 +ERR12084824 32950 31518 7.0 ERR12084797 0.999006 c504 c436 c52 c105 0.999006 0.999006 +SRR12966353 33548 32700 9.0 SRR12966249 0.999701 c505 c1 c1 c1 0.999393 0.998996 0.997096 +ERR12084830 32870 31522 7.0 ERR12084810 0.999066 c506 c437 c53 c38 0.999066 0.998937 +ERR12084707 33261 31673 7.0 ERR12084686 0.998888 c507 c438 c421 c106 0.998888 +ERR12084866 33207 31602 7.0 ERR12084864 0.998961 c508 c439 c422 c107 0.998961 +ERR12084682 32923 31331 7.0 ERR12084717 0.996695 c509 c440 c423 c363 +ERR12084679 33286 31206 6.0 SRR31166742 0.996549 c510 c441 c424 c364 +ERR12084586 52224 42155 4.0 ERR12084587 0.991593 c511 c442 c425 c365 +ERR12084666 33390 31578 6.0 ERR12084860 0.997225 c512 c443 c426 c366 +ERR12084656 33309 31623 7.0 ERR12084648 0.998837 c513 c444 c427 c108 0.998837 +ERR12084598 33439 31748 7.0 ERR12084580 0.998903 c514 c445 c428 c2 0.998477 +ERR12084784 32734 31029 7.0 ERR12084768 0.998661 c515 c446 c429 c109 0.998661 +ERR12084638 33333 31509 6.0 SRR31166624 0.996795 c516 c447 c430 c367 +ERR12084717 33373 31571 6.0 ERR12084751 0.998647 c517 c448 c431 c36 0.998537 +ERR12084735 33188 31391 6.0 SRR31166715 0.996347 c518 c449 c432 c368 +ERR12084848 33511 31810 7.0 ERR12084842 0.998888 c519 c450 c433 c110 0.998888 +ERR12084617 33385 31971 7.0 ERR12084605 0.999104 c520 c451 c9 c2 0.999077 0.998477 +ERR12084703 33205 31687 7.0 ERR12084678 0.998942 c521 c452 c434 c111 0.998942 +ERR12084868 33482 31350 6.0 SRR31166657 0.996225 c522 c453 c435 c369 +ERR12084676 33367 31689 7.0 SRR12966228 0.996327 c523 c454 c436 c370 +ERR12084602 33491 31762 6.0 ERR12084580 0.998964 c524 c455 c437 c2 0.998477 +ERR12084836 33275 31298 6.0 ERR12084850 0.998751 c525 c456 c438 c17 0.998531 +ERR12084634 33416 31356 6.0 ERR12084580 0.998790 c526 c457 c439 c2 0.998477 +ERR12084865 33296 31102 6.0 SRR31166657 0.996638 c527 c458 c440 c371 +ERR12084785 44017 34326 5.0 ERR12084769 0.992833 c528 c459 c441 c372 +ERR12084851 33216 31388 6.0 SRR31166736 0.996326 c529 c460 c442 c373 +ERR12084595 33345 31665 6.0 SRR12966277 0.996329 c530 c461 c443 c374 +ERR12084715 33431 31316 6.0 ERR12084625 0.998815 c531 c462 c444 c31 0.998775 +ERR12084716 33312 31575 7.0 ERR12084643 0.998778 c532 c463 c445 c22 0.998713 +ERR12084857 33390 31647 6.0 ERR12084850 0.998870 c533 c464 c446 c17 0.998531 +ERR12084737 33494 31863 7.0 SRR31166624 0.996774 c534 c465 c447 c375 +ERR12084867 33436 31644 6.0 SRR12966228 0.996374 c535 c466 c448 c376 +ERR12084859 33499 31559 6.0 SRR12966328 0.996446 c536 c467 c449 c377 +ERR12084675 33041 31447 7.0 SRR31166634 0.996362 c537 c468 c450 c378 +ERR12084839 33430 31627 6.0 ERR12084838 0.998883 c538 c469 c451 c32 0.998745 +ERR12084627 33402 31501 6.0 ERR12084580 0.998862 c539 c470 c452 c2 0.998477 +ERR12084837 33061 31455 7.0 ERR12084835 0.998941 c540 c471 c453 c39 0.998937 +ERR12084861 33255 31073 6.0 ERR12084858 0.997173 c541 c472 c454 c379 +ERR12084630 34992 31737 6.0 ERR12084819 0.842397 c542 c473 c455 c380 +ERR12084827 32899 31438 7.0 ERR12084802 0.998978 c543 c474 c456 c112 0.998978 +ERR12084579 33379 31677 6.0 ERR12084808 0.998866 c544 c475 c457 c15 0.998823 +ERR12084674 33318 31413 6.0 SRR12966228 0.996012 c545 c476 c458 c381 +ERR12084611 33454 31413 6.0 ERR12084580 0.998812 c546 c477 c459 c2 0.998477 +ERR12084853 33343 31690 7.0 ERR12084856 0.998890 c547 c478 c460 c10 0.998310 +ERR12084672 33485 31489 6.0 SRR12966328 0.996658 c548 c479 c461 c382 +ERR12084835 33128 31467 7.0 ERR12084845 0.998944 c549 c480 c462 c39 0.998937 +ERR12084590 33463 31283 6.0 ERR12084580 0.998757 c550 c481 c463 c2 0.998477 +ERR12084600 33473 31475 6.0 ERR12084789 0.998608 c551 c482 c464 c66 0.998608 +ERR12084604 33365 31859 7.0 ERR12084788 0.998891 c552 c483 c465 c44 0.998891 +ERR12084753 33283 31459 6.0 ERR12084792 0.998463 c553 c484 c466 c64 0.998463 +ERR12084869 33411 31213 6.0 ERR12084860 0.998669 c554 c485 c467 c30 0.998450 +ERR12084855 33431 31848 7.0 SRR31166624 0.996617 c555 c486 c468 c383 +ERR12084852 33128 31320 6.0 ERR12084853 0.998824 c556 c487 c469 c10 0.998310 +ERR12084860 33527 31752 6.0 ERR12084869 0.998669 c557 c488 c470 c30 0.998450 +ERR12084653 33196 30957 6.0 ERR12084717 0.996209 c558 c489 c471 c384 +ERR12084580 33510 31905 6.0 ERR12084602 0.998964 c559 c490 c472 c2 0.998477 +ERR12084633 33353 31377 6.0 ERR12084659 0.998760 c560 c491 c473 c29 0.998681 +ERR12084644 32945 31336 7.0 ERR12084830 0.998979 c561 c492 c474 c38 0.998937 +ERR12084845 33154 31449 7.0 ERR12084835 0.998944 c562 c493 c475 c39 0.998937 +ERR12084731 33402 31251 6.0 SRR31166808 0.996373 c563 c494 c476 c385 +ERR12084849 33355 31499 6.0 ERR12084622 0.997552 c564 c495 c477 c386 +ERR12084645 33481 31718 6.0 ERR12084580 0.998918 c565 c496 c478 c2 0.998477 +ERR12084727 33383 31504 6.0 SRR12966228 0.996438 c566 c497 c479 c387 +ERR12084658 33415 31265 6.0 ERR12084717 0.998626 c567 c498 c480 c36 0.998537 +ERR12084856 33379 31477 6.0 ERR12084853 0.998890 c568 c499 c481 c10 0.998310 +ERR12084589 33553 31680 6.0 ERR12084580 0.998862 c569 c500 c482 c2 0.998477 +ERR12084714 33482 31474 6.0 ERR12084649 0.998786 c570 c501 c483 c7 0.998699 +ERR12084626 33537 31448 6.0 ERR12084580 0.998782 c571 c502 c484 c2 0.998477 +ERR12084673 33504 31433 6.0 ERR12084649 0.998790 c572 c503 c485 c7 0.998699 +ERR12084810 32887 31440 7.0 ERR12084830 0.999066 c573 c504 c53 c38 0.999066 0.998937 +ERR12084809 33322 31692 7.0 ERR12084829 0.999013 c574 c505 c20 c41 0.999013 0.999013 +ERR12084854 33560 31363 6.0 SRR12966228 0.996130 c575 c506 c486 c388 +ERR12084870 33136 31566 7.0 ERR12084879 0.999042 c576 c507 c17 c18 0.998995 0.998646 +ERR12084724 33357 31730 7.0 ERR12084750 0.998906 c577 c508 c487 c85 0.998906 +ERR12084801 33267 31421 7.0 ERR12084826 0.998840 c578 c509 c488 c94 0.998840 +ERR12084684 32999 31190 7.0 ERR12084701 0.998782 c579 c510 c489 c9 0.998566 +ERR12084871 33306 31680 7.0 ERR12084882 0.998925 c580 c511 c490 c93 0.998925 +ERR12084840 32865 31028 7.0 ERR12084846 0.998585 c581 c512 c491 c10 0.998310 +ERR12084691 33402 31583 7.0 ERR12084696 0.998678 c582 c513 c492 c91 0.998678 +ERR12084640 33226 31482 6.0 ERR12084662 0.998797 c583 c514 c493 c82 0.998797 +ERR12084722 33445 31837 7.0 ERR12084749 0.998865 c584 c515 c494 c92 0.998865 +ERR12084800 33083 31230 6.0 ERR12084806 0.998615 c585 c516 c495 c88 0.998615 +ERR12084761 33112 31540 7.0 ERR12084759 0.998845 c586 c517 c496 c86 0.998845 +ERR12084681 33193 31494 7.0 ERR12084704 0.998811 c587 c518 c497 c95 0.998811 +ERR12084646 32821 31042 7.0 ERR12084661 0.998745 c588 c519 c498 c83 0.998745 +ERR12084841 33337 31597 7.0 ERR12084847 0.998772 c589 c520 c499 c98 0.998772 +ERR12084771 33386 31641 7.0 ERR12084787 0.998910 c590 c521 c500 c100 0.998910 +ERR12084762 33075 31327 7.0 ERR12084765 0.998759 c591 c522 c501 c84 0.998759 +ERR12084770 33325 31671 7.0 ERR12084786 0.998908 c592 c523 c502 c89 0.998908 +ERR12084726 33333 31455 7.0 ERR12084716 0.998770 c593 c524 c503 c22 0.998713 +ERR12084601 33275 31612 7.0 ERR12084618 0.998996 c594 c525 c504 c2 0.998477 +ERR12084592 33381 31816 7.0 ERR12084615 0.998929 c595 c526 c505 c33 0.998634 +ERR12084685 32942 31355 7.0 ERR12084702 0.998837 c596 c527 c506 c101 0.998837 +ERR12084599 33138 31221 6.0 ERR12084619 0.998529 c597 c528 c507 c90 0.998529 +ERR12084803 32514 31054 7.0 ERR12084828 0.998986 c598 c529 c508 c102 0.998986 +ERR12084798 33400 31735 7.0 ERR12084825 0.998842 c599 c530 c509 c96 0.998842 +ERR12084647 33315 31519 7.0 ERR12084663 0.998798 c600 c531 c510 c99 0.998798 +ERR12084687 33416 31644 7.0 ERR12084708 0.998820 c601 c532 c511 c87 0.998820 +ERR12084864 33239 31702 7.0 ERR12084866 0.998961 c602 c533 c512 c107 0.998961 +ERR12084677 33273 31659 7.0 ERR12084808 0.998915 c603 c534 c513 c15 0.998823 +ERR12084842 33547 31813 7.0 ERR12084848 0.998888 c604 c535 c514 c110 0.998888 +ERR12084683 33317 31540 7.0 ERR12084705 0.998789 c605 c536 c515 c103 0.998789 +ERR12084648 33318 31583 7.0 ERR12084656 0.998837 c606 c537 c516 c108 0.998837 +ERR12084768 32770 30880 7.0 ERR12084784 0.998661 c607 c538 c517 c109 0.998661 +ERR12084689 33123 31554 7.0 ERR12084709 0.999008 c608 c539 c51 c97 0.999008 0.999008 +ERR12084797 32971 31483 7.0 ERR12084824 0.999006 c609 c540 c52 c105 0.999006 0.999006 +ERR12084597 32885 30860 7.0 ERR12084583 0.998462 c610 c541 c518 c104 0.998462 +ERR12084678 33320 31783 7.0 ERR12084703 0.998942 c611 c542 c519 c111 0.998942 +ERR12084686 33253 31634 7.0 ERR12084707 0.998888 c612 c543 c520 c106 0.998888 +ERR12084769 43782 34186 5.0 ERR12084755 0.992846 c613 c544 c521 c389 +ERR12084587 52550 42430 4.0 ERR12084586 0.991593 c614 c545 c522 c390 +ERR12084802 33002 31486 7.0 ERR12084827 0.998978 c615 c546 c523 c112 0.998978 +ERR12084642 29021 21561 4.0 ERR12084629 0.988224 c616 c547 c524 c391 +ERR12084603 33423 31984 7.0 ERR12084618 0.999104 c617 c548 c9 c2 0.999077 0.998477 +ERR12084649 33454 31813 7.0 ERR12084747 0.998949 c618 c549 c525 c7 0.998699 +ERR12084605 33462 31987 7.0 ERR12084618 0.999118 c619 c550 c9 c2 0.999077 0.998477 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/cladosporium_cladosporioides.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/cladosporium_cladosporioides.clones.tsv new file mode 100644 index 00000000..ff67b291 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/cladosporium_cladosporioides.clones.tsv @@ -0,0 +1,6 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR14342047 33871 33311 14.0 SRR14342051 0.999830 c2 c1 c1 c1 0.999828 0.999828 0.999828 +SRR14342048 33984 33666 13.0 SRR14342051 0.999980 c1 c1 c1 c1 0.999980 0.999828 0.999828 0.999828 +SRR14342051 34053 33674 13.0 SRR14342048 0.999980 c1 c1 c1 c1 0.999980 0.999828 0.999828 0.999828 +SRR30160446 33795 32119 13.0 SRR14342047 0.995062 c3 c2 c2 c2 +SRR31045223 34150 31767 13.0 SRR30160446 0.904974 c4 c3 c3 c3 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/claviceps_purpurea.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/claviceps_purpurea.clones.tsv new file mode 100644 index 00000000..c298880c --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/claviceps_purpurea.clones.tsv @@ -0,0 +1,24 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR8785163 31735 30422 12.0 SRR8785149 0.988893 c1 c1 c1 c1 +SRR8785145 31720 30379 12.0 SRR8785144 0.988898 c2 c2 c2 c2 +SRR6985962 31962 30581 12.0 SRR8785174 0.989513 c3 c3 c3 c3 +SRR6985966 31646 30347 12.0 SRR8785146 0.989031 c4 c4 c4 c4 +SRR8785162 31835 30133 13.0 SRR8785178 0.989174 c5 c5 c5 c5 +SRR8785144 31694 30466 12.0 SRR8785146 0.989002 c6 c6 c6 c6 +SRR8785146 31696 30111 13.0 SRR6985966 0.989031 c7 c7 c7 c7 +SRR8785142 31749 30438 12.0 SRR8785143 0.988925 c8 c8 c8 c8 +SRR8785143 31875 30570 12.0 SRR8785142 0.988925 c9 c9 c9 c9 +SRR8785180 33864 30193 13.0 SRR8785147 0.988827 c10 c10 c10 c10 +SRR8785165 31966 30456 12.0 SRR8785167 0.989013 c11 c11 c11 c11 +SRR8785164 31587 30294 12.0 SRR8785162 0.988844 c12 c12 c12 c12 +SRR8785151 31822 30364 12.0 SRR8785146 0.988853 c13 c13 c13 c13 +SRR8785167 31869 30491 12.0 SRR8785165 0.989013 c14 c14 c14 c14 +SRR8785181 32652 30118 13.0 SRR8785178 0.988833 c15 c15 c15 c15 +SRR8785174 32804 30095 13.0 SRR8785166 0.990447 c16 c16 c16 c16 +SRR8785178 38116 35197 11.0 SRR8785166 0.989835 c17 c17 c17 c17 +SRR8785161 31998 30593 12.0 SRR8785145 0.988884 c18 c18 c18 c18 +SRR8785149 31640 30361 12.0 SRR8785146 0.988981 c19 c19 c19 c19 +SRR8785147 31627 30116 13.0 SRR8785167 0.988932 c20 c20 c20 c20 +SRR8785141 31889 30506 12.0 SRR8785147 0.988856 c21 c21 c21 c21 +SRR8785166 31731 30567 12.0 SRR8785174 0.990447 c22 c22 c22 c22 +SRR8785148 31737 30548 12.0 SRR8785174 0.989477 c23 c23 c23 c23 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/clavispora_lusitaniae.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/clavispora_lusitaniae.clones.tsv new file mode 100644 index 00000000..cfae80f5 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/clavispora_lusitaniae.clones.tsv @@ -0,0 +1,90 @@ +run hashes solid_hashes 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0.999788 +SRR18899523 21364 14916 11.0 SRR18899656 0.993308 c16 c18 c17 c16 +SRR18899524 13130 12154 33.0 ERR10466715 0.999652 c17 c5 c5 c5 0.999377 0.999377 0.999377 +SRR30781188 15315 12074 31.0 SRR30781165 0.995264 c18 c19 c18 c17 +SRR30781120 15885 12094 28.0 SRR24123457 0.992631 c19 c20 c19 c18 +SRR18899649 14821 12348 25.0 SRR18899655 0.999958 c3 c3 c3 c3 0.999854 0.999788 0.999788 0.999788 +SRR23951607 14460 12150 30.0 SRR23951605 0.999986 c2 c2 c2 c2 0.999941 0.999629 0.998210 0.998210 +SRR30781124 17120 12078 26.0 SRR30781187 0.999631 c20 c7 c7 c7 0.999631 0.999631 0.999631 +SRR18899522 15493 12185 30.0 SRR33956919 0.999875 c21 c8 c8 c8 0.999875 0.999875 0.999875 +SRR30781089 20536 12217 22.0 SRR23500733 0.993267 c22 c21 c20 c19 +SRR23951624 14440 12172 30.0 SRR23951605 0.999980 c2 c2 c2 c2 0.999941 0.999629 0.998210 0.998210 +SRR23951612 14493 12171 30.0 SRR23951622 0.999990 c2 c2 c2 c2 0.999941 0.999629 0.998210 0.998210 +SRR23951609 14422 12168 30.0 SRR23951605 0.999982 c2 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35.0 SRR24123455 0.999988 c5 c6 c6 c6 0.999988 0.999988 0.999988 0.999988 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/clonostachys_chloroleuca.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/clonostachys_chloroleuca.clones.tsv new file mode 100644 index 00000000..b85daa88 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/clonostachys_chloroleuca.clones.tsv @@ -0,0 +1,6 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR30906288 56374 53383 8.0 SRR30906290 0.998868 c1 c1 c1 c1 0.998868 +SRR30906290 56651 53800 7.0 SRR30906288 0.998868 c2 c2 c2 c1 0.998868 +ERR3357678 57910 54947 7.0 SRR30906290 0.991787 c3 c3 c3 c2 +ERR3357595 55344 53969 8.0 SRR30906290 0.991335 c4 c4 c4 c3 +ERR3357613 55976 54573 8.0 ERR3357595 0.989623 c5 c5 c5 c4 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/clonostachys_rosea.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/clonostachys_rosea.clones.tsv new file mode 100644 index 00000000..b596154c --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/clonostachys_rosea.clones.tsv @@ -0,0 +1,136 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR19776985 58494 54823 6.0 ERR2600627 0.990680 c1 c3 c10 c10 +ERR17569384 46949 36823 4.0 ERR2600632 0.994177 c2 c4 c11 c11 +ERR17569423 47733 38069 4.0 ERR2600634 0.994882 c3 c5 c12 c12 +ERR2600654 57046 53258 7.0 ERR2600653 0.999008 c4 c6 c5 c5 0.999008 0.999008 +ERR17568724 49942 40907 4.0 ERR2600641 0.996941 c5 c7 c13 c13 +ERR17569405 45844 38037 4.0 ERR17568777 0.987681 c6 c8 c14 c14 +SRR26073323 57947 54263 8.0 ERR2600629 0.993812 c7 c9 c15 c15 +ERR2600666 54757 53387 8.0 ERR17568928 0.997281 c8 c10 c16 c16 +ERR2600648 58154 55905 7.0 ERR2600649 0.996547 c9 c11 c17 c17 +SRR12475922 57145 55217 17.0 ERR2600638 0.995996 c10 c12 c18 c18 +SRR26073325 59660 54267 7.0 SRR26073304 0.997978 c11 c13 c19 c19 +SRR26073309 57619 54716 7.0 SRR26073314 0.999360 c12 c14 c6 c6 0.999360 0.999360 +SRR26073314 56984 55509 8.0 SRR26073309 0.999360 c13 c15 c6 c6 0.999360 0.999360 +SRR1592484 50412 46898 9.0 SRR26073319 0.963180 c14 c16 c20 c20 +SRR26552130 59521 56052 14.0 ERR2600639 0.996228 c15 c17 c21 c21 +SRR12475921 59113 57500 16.0 SRR12475922 0.994963 c16 c18 c22 c22 +ERR3357612 52924 51848 9.0 SRR1592484 0.899631 c17 c19 c23 c23 +SRR30170878 21728 16308 7.0 SRR19776985 0.910183 c18 c20 c24 c24 +ERR747884 51916 43077 4.0 SRR26073311 0.993523 c19 c21 c25 c25 +ERR17569352 46323 37980 4.0 ERR2600629 0.995789 c20 c22 c26 c26 +ERR2600618 58222 55845 7.0 ERR2600637 0.996139 c21 c23 c27 c27 +ERR17568804 50544 40640 4.0 ERR2600659 0.996453 c22 c24 c28 c28 +ERR17568765 49514 38130 4.0 ERR2600657 0.995094 c23 c25 c29 c29 +ERR2600641 56438 54999 8.0 ERR17568724 0.996941 c24 c26 c30 c30 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ERR2600637 0.996740 c38 c38 c38 c37 +SRR26073310 60989 56198 7.0 SRR26073314 0.994641 c39 c39 c39 c38 +ERR17568796 50810 40634 4.0 ERR2600658 0.996341 c40 c40 c40 c39 +ERR2600647 58664 56137 7.0 ERR2600645 0.999372 c41 c41 c1 c1 0.999331 0.999331 +SRR26073319 55176 53927 8.0 SRR26073321 0.999301 c42 c42 c7 c7 0.999301 0.999301 +ERR17569536 48748 37648 4.0 ERR2600645 0.995203 c43 c43 c41 c40 +ERR2600645 58545 56194 7.0 ERR2600646 0.999375 c44 c44 c1 c1 0.999331 0.999331 +SRR26073312 54684 53594 8.0 SRR26073324 0.999438 c45 c45 c3 c3 0.999244 0.998807 +ERR17569519 49349 38436 4.0 ERR2600645 0.995525 c46 c46 c42 c41 +ERR2600619 58715 55444 7.0 ERR2600618 0.995939 c47 c47 c43 c42 +SRR26073324 58260 53856 7.0 SRR26073312 0.999438 c48 c48 c3 c3 0.999244 0.998807 +ERR17569093 48505 37203 4.0 ERR2600619 0.994807 c49 c49 c44 c43 +ERR2600667 54601 52093 8.0 ERR17568732 0.995605 c50 c50 c45 c44 +SRR26073318 56547 55484 8.0 SRR26073317 0.999705 c51 c1 c2 c2 0.999659 0.999345 0.999345 +ERR17568732 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ERR2600630 0.996412 c125 c122 c109 c108 +ERR17568669 47235 38669 4.0 ERR2600660 0.995635 c126 c123 c110 c109 +ERR17569460 47910 36268 4.0 ERR2600651 0.994594 c127 c124 c111 c110 +ERR17569301 46936 35079 4.0 ERR2600618 0.994282 c128 c125 c112 c111 +ERR17569587 47821 38583 4.0 ERR2600649 0.995229 c129 c126 c113 c112 +ERR17569471 47575 35338 4.0 ERR2600652 0.994436 c130 c127 c114 c113 +ERR17568817 46885 36511 4.0 ERR2600663 0.995640 c131 c128 c115 c114 +ERR17569561 47028 37418 4.0 ERR2600655 0.996116 c132 c129 c116 c115 +ERR17568757 46878 39211 4.0 ERR2600664 0.996155 c133 c130 c117 c116 +ERR17569226 46467 35112 4.0 ERR2600638 0.995008 c134 c131 c118 c117 +ERR17569364 47383 38675 4.0 ERR2600627 0.995382 c135 c132 c119 c118 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/coccidioides_immitis.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/coccidioides_immitis.clones.tsv new file mode 100644 index 00000000..37b4c77a --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/coccidioides_immitis.clones.tsv @@ -0,0 +1,62 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR35701422 30441 28743 10.0 SRR3468021 0.995887 c1 c3 c3 c5 +SRR21204684 30453 26533 23.0 SRR3468021 0.998076 c2 c4 c4 c2 0.997926 +SRR25626839 27135 25934 19.0 SRR7206606 0.997847 c3 c5 c5 c6 +SRR3468081 29025 26140 27.0 SRR3468019 0.997397 c4 c6 c6 c7 +SRR7206603 28565 25919 27.0 SRR7206598 0.997774 c5 c7 c7 c8 +SRR7206600 26045 25653 30.0 SRR21204690 0.999813 c6 c1 c1 c1 0.999796 0.999164 0.999164 +SRR24010552 27018 26117 16.0 SRR35701428 0.997952 c7 c8 c8 c9 +SRR7206602 35789 29458 14.0 SRR8530934 0.994913 c8 c9 c9 c10 +SRR3468022 36631 27687 18.0 SRR35701403 0.996662 c9 c10 c10 c11 +SRR35701404 30020 27166 12.0 SRR35701415 0.996605 c10 c11 c11 c12 +SRR21204704 27582 25783 29.0 SRR35701423 0.997984 c11 c12 c12 c13 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0.997926 +SRR35701385 27908 26035 15.0 SRR3468071 0.997874 c26 c25 c24 c23 +SRR3468079 26434 26111 10.0 SRR8530934 0.997839 c27 c26 c25 c24 +SRR35701415 29002 26216 14.0 SRR8530935 0.997021 c28 c27 c26 c25 +SRR3468071 26277 25949 10.0 SRR8530934 0.997927 c29 c28 c27 c26 +SRR35701419 27995 26289 16.0 SRR35701425 0.997438 c30 c29 c28 c27 +SRR3468027 25113 22383 5.0 SRR3468071 0.996331 c31 c30 c29 c28 +SRR35701426 28854 26734 14.0 SRR21295063 0.996920 c32 c31 c30 c29 +SRR8530936 28415 26146 26.0 SRR7206600 0.999409 c33 c32 c1 c1 0.999164 0.999164 +ERR14883901 28701 24798 9.0 SRR21204684 0.766279 c34 c33 c31 c30 +SRR7206598 28154 25980 26.0 SRR7206603 0.997774 c35 c34 c32 c31 +SRR25621432 27584 26344 18.0 SRR7206605 0.997724 c36 c35 c33 c32 +SRR7206606 31524 26121 31.0 SRR3468021 0.998583 c37 c36 c34 c2 0.997926 +SRR7206605 29249 26260 28.0 SRR8530933 0.997906 c38 c37 c35 c33 +ERR15375042 26221 24295 14.0 ERR15375050 0.997705 c39 c38 c36 c34 +SRR25626827 27975 26254 20.0 SRR35701409 0.997879 c40 c39 c37 c35 +SRR35701409 28551 26296 14.0 SRR35701411 0.999799 c41 c2 c2 c3 0.999486 0.999486 0.999486 +SRR3468038 27012 26233 8.0 SRR3468079 0.997799 c42 c40 c38 c36 +SRR7206601 28089 25828 23.0 SRR21204704 0.997822 c43 c41 c39 c37 +SRR35701421 28146 26284 15.0 SRR3468079 0.997743 c44 c42 c40 c38 +SRR3468016 26100 25796 10.0 SRR21204723 0.997301 c45 c43 c41 c39 +SRR8530933 28479 26083 27.0 SRR7206605 0.997906 c46 c44 c42 c40 +SRR3468049 26107 25869 10.0 SRR7206598 0.997583 c47 c45 c43 c41 +SRR35701433 29156 26291 14.0 SRR24010552 0.996896 c48 c46 c44 c42 +SRR3468019 26357 26069 10.0 SRR35701429 0.998884 c49 c47 c45 c4 0.998884 +SRR8530934 28959 26147 27.0 SRR3468071 0.997927 c50 c48 c46 c43 +SRR35701428 28036 26291 15.0 SRR24010552 0.997952 c51 c49 c47 c44 +SRR3468017 26213 25887 10.0 SRR8530935 0.997591 c52 c50 c48 c45 +SRR7206604 34661 25025 4.0 SRR8530936 0.992642 c53 c51 c49 c46 +SRR35701432 28811 26502 14.0 SRR3468017 0.997165 c54 c52 c50 c47 +SRR3468080 26448 26140 10.0 SRR3468015 0.997328 c55 c53 c51 c48 +SRR8530937 28823 25700 25.0 SRR7206600 0.999812 c56 c1 c1 c1 0.999796 0.999164 0.999164 +SRR3468015 26544 26277 10.0 SRR24010552 0.997718 c57 c54 c52 c49 +SRR35701423 28133 26030 15.0 SRR21204704 0.997984 c58 c55 c53 c50 +SRR35701403 28595 26266 14.0 SRR7206598 0.997377 c59 c56 c54 c51 +SRR35701411 28656 26279 13.0 SRR35701409 0.999799 c60 c2 c2 c3 0.999486 0.999486 0.999486 +SRR35701425 28154 25972 15.0 SRR25626839 0.997559 c61 c57 c55 c52 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/coccidioides_posadasii.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/coccidioides_posadasii.clones.tsv new file mode 100644 index 00000000..47af7cf8 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/coccidioides_posadasii.clones.tsv @@ -0,0 +1,155 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 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26716 25763 17.0 SRR30104652 0.996027 c16 c22 c22 c25 +SRR3468053 25980 25610 9.0 SRR25495559 0.997977 c17 c23 c23 c26 +SRR35701386 28485 26234 15.0 SRR35701387 0.999801 c18 c2 c2 c4 0.999801 0.999801 0.999801 +SRR30105890 25244 22160 5.0 SRR30104714 0.997901 c19 c24 c24 c27 +ERR15375052 26415 23698 15.0 ERR15375046 0.996478 c20 c25 c25 c28 +SRR25495556 28505 25623 15.0 SRR25495557 0.999780 c21 c1 c1 c1 0.999539 0.999539 0.999539 +SRR21204672 28633 25990 27.0 SRR14250216 0.996241 c22 c26 c26 c29 +SRR6830887 27070 26059 10.0 SRR3468073 0.999540 c23 c3 c3 c5 0.999540 0.999540 0.999540 +SRR30104683 26630 25559 17.0 SRR30105883 0.996289 c24 c27 c27 c30 +SRR3468031 26122 25804 10.0 SRR30104723 0.996455 c25 c28 c28 c31 +SRR35701395 30405 26389 14.0 SRR30104710 0.995474 c26 c29 c29 c32 +SRR30105892 33994 30039 7.0 SRR30105893 0.997005 c27 c30 c30 c33 +ERR15375043 26062 24294 14.0 SRR30104697 0.996847 c28 c31 c31 c34 +SRR25495568 26195 25499 16.0 SRR25495567 0.999945 c2 c1 c1 c1 0.999945 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c62 +SRR30105879 28548 26924 10.0 SRR30104714 0.998266 c68 c65 c65 c63 +SRR30104707 26740 25662 17.0 SRR30104689 0.997194 c69 c66 c66 c64 +SRR3468075 36814 25991 23.0 SRR25495559 0.997689 c70 c67 c67 c65 +SRR35701391 27331 25804 15.0 SRR35701392 0.999860 c71 c6 c6 c11 0.999860 0.999860 0.999860 +SRR30104720 26740 25916 16.0 SRR30104653 0.996404 c72 c68 c68 c66 +SRR3468043 26058 25751 10.0 SRR30104722 0.996297 c73 c69 c69 c67 +SRR35701416 27289 25735 15.0 SRR35701388 0.999729 c74 c7 c7 c12 0.999729 0.999729 0.999729 +SRR30104704 26809 26019 16.0 SRR30105884 0.997768 c75 c70 c70 c68 +SRR3468040 26265 26002 10.0 SRR30104689 0.996570 c76 c71 c71 c69 +SRR35701431 28200 26036 14.0 SRR30104722 0.996014 c77 c72 c72 c70 +SRR30104659 26452 25513 17.0 SRR30104674 0.996855 c78 c73 c73 c71 +SRR3468024 26498 26222 10.0 SRR30104689 0.996747 c79 c74 c74 c72 +SRR35701388 27695 25603 15.0 SRR35701416 0.999729 c80 c7 c7 c12 0.999729 0.999729 0.999729 +SRR30104722 26540 25749 16.0 SRR30104659 0.996585 c81 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SRR30104697 0.996246 c96 c90 c90 c85 +SRR3468044 26370 26022 10.0 SRR30104667 0.996961 c97 c91 c91 c86 +SRR30104705 26517 25700 16.0 SRR30104651 0.996445 c98 c92 c92 c87 +SRR3468029 26029 25736 10.0 SRR30104667 0.996632 c99 c93 c93 c88 +SRR30104698 26607 25676 16.0 SRR30104719 0.996742 c100 c94 c94 c89 +SRR3468068 37026 26506 23.0 SRR21204672 0.996175 c101 c95 c95 c90 +SRR30104715 26580 25772 16.0 SRR30104718 0.999899 c102 c8 c8 c13 0.999899 0.999899 0.999899 +SRR3468061 26083 25821 10.0 SRR30104661 0.996202 c103 c96 c96 c91 +SRR30104700 26558 25824 16.0 SRR3468052 0.996252 c104 c97 c97 c92 +SRR3468063 26365 26111 10.0 SRR3468054 0.996130 c105 c98 c98 c93 +SRR30104696 26529 25132 18.0 SRR30104718 0.996544 c106 c99 c99 c94 +SRR3468073 26079 25724 9.0 SRR6830887 0.999540 c107 c3 c3 c5 0.999540 0.999540 0.999540 +SRR30104695 26521 25777 16.0 SRR30104657 0.996739 c108 c100 c100 c95 +SRR3468051 26402 26013 9.0 SRR25495568 0.997881 c109 c101 c101 c96 +SRR30104691 26734 25887 16.0 SRR30104667 0.997126 c110 c102 c102 c97 +SRR3468078 35520 26172 24.0 SRR25495567 0.997441 c111 c103 c103 c98 +SRR30104717 26689 25755 16.0 SRR30105881 0.997182 c112 c104 c104 c99 +SRR3468062 25927 25657 10.0 SRR30104723 0.996622 c113 c105 c105 c100 +SRR30104672 26795 25997 16.0 SRR30104722 0.996493 c114 c106 c106 c101 +SRR3468074 36342 27014 19.0 SRR25495563 0.996797 c115 c107 c107 c102 +SRR30104656 26647 25912 16.0 SRR30104658 0.997232 c116 c108 c108 c103 +SRR3468054 26168 25882 10.0 SRR30104696 0.996418 c117 c109 c109 c104 +SRR30104694 27177 25526 17.0 SRR30104658 0.996890 c118 c110 c110 c105 +SRR3468059 26152 25879 10.0 SRR3468041 0.996292 c119 c111 c111 c106 +SRR30104658 26777 25907 16.0 SRR30105881 0.998027 c120 c112 c112 c10 0.998027 +SRR3468042 26409 26127 10.0 SRR30104653 0.996932 c121 c113 c113 c107 +SRR30104662 26357 25450 17.0 SRR30104698 0.996639 c122 c114 c114 c108 +SRR3468037 26202 25901 10.0 SRR3468056 0.996201 c123 c115 c115 c109 +SRR30104651 26475 25401 17.0 SRR30104657 0.996970 c124 c116 c116 c110 +SRR3468076 33560 27070 19.0 SRR3468077 0.999756 c125 c9 c9 c2 0.999756 0.999756 0.997903 +SRR30104699 27044 26107 16.0 SRR30104700 0.996113 c126 c117 c117 c111 +SRR3468039 25955 25716 10.0 SRR30105883 0.996238 c127 c118 c118 c112 +SRR30104689 26848 25713 17.0 SRR30104707 0.997194 c128 c119 c119 c113 +SRR3468046 25991 25759 10.0 SRR30104709 0.996679 c129 c120 c120 c114 +SRR30104719 26597 25920 16.0 SRR30105883 0.997309 c130 c121 c121 c115 +SRR3468052 26098 25636 9.0 SRR30104700 0.996252 c131 c122 c122 c116 +SRR30104664 26514 25563 17.0 SRR30104660 0.996771 c132 c123 c123 c117 +SRR3468077 33274 27026 17.0 SRR3468076 0.999756 c133 c9 c9 c2 0.999756 0.999756 0.997903 +SRR30104648 26727 25842 16.0 SRR30104657 0.996916 c134 c124 c124 c118 +SRR3468025 26215 25904 10.0 SRR3468026 0.999884 c135 c4 c4 c6 0.999884 0.999884 0.999884 +SRR30104650 26267 24974 17.0 SRR30104651 0.996847 c136 c125 c125 c119 +SRR30104688 26703 25618 17.0 SRR30105883 0.996406 c137 c126 c126 c120 +SRR30104713 27190 26219 15.0 SRR30105883 0.996314 c138 c127 c127 c121 +SRR30104661 26785 25884 16.0 SRR30104657 0.996759 c139 c128 c128 c122 +SRR30104710 26344 25529 17.0 SRR30104657 0.997034 c140 c129 c129 c123 +SRR30104657 26417 25582 17.0 SRR30104674 0.997388 c141 c130 c130 c124 +SRR30104724 26692 25624 16.0 SRR30104674 0.996810 c142 c131 c131 c125 +SRR30104686 26350 25312 17.0 SRR30104662 0.996375 c143 c132 c132 c126 +SRR30104718 26645 25743 16.0 SRR30104715 0.999899 c144 c8 c8 c13 0.999899 0.999899 0.999899 +SRR30104685 26164 24866 18.0 SRR30104691 0.996717 c145 c133 c133 c127 +SRR30104660 26585 25512 17.0 SRR30104664 0.996771 c146 c134 c134 c128 +SRR30104697 25935 24526 19.0 ERR15375043 0.996847 c147 c135 c135 c129 +SRR30104674 26530 25377 17.0 SRR30104657 0.997388 c148 c136 c136 c130 +SRR30104690 26637 25847 17.0 SRR30104696 0.996525 c149 c137 c137 c131 +SRR30104665 26387 25552 9.0 SRR30105883 0.996238 c150 c138 c138 c132 +SRR30104725 26496 25887 9.0 SRR30104697 0.979851 c151 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a/datasets/reads/sra_survey/pilot/clone_solid/cordyceps_javanica.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/cordyceps_javanica.clones.tsv new file mode 100644 index 00000000..2714e225 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/cordyceps_javanica.clones.tsv @@ -0,0 +1,34 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR22217111 34700 32388 12.0 SRR22217164 0.998347 c1 c1 c2 c2 0.998347 +SRR22217164 33775 30375 10.0 SRR22217111 0.998347 c2 c2 c3 c2 0.998347 +SRR22217121 34080 31843 12.0 SRR22217345 0.998198 c3 c3 c4 c3 0.998198 +SRR22217167 34320 31162 10.0 SRR22217166 0.997125 c4 c4 c5 c4 +SRR31344820 35544 34109 13.0 SRR22217121 0.990817 c5 c5 c6 c5 +SRR22217116 36039 32076 9.0 SRR22217136 0.990690 c6 c6 c7 c6 +SRR22217171 32821 29324 10.0 SRR22217167 0.996811 c7 c7 c8 c7 +SRR22217166 32137 27669 7.0 SRR22217167 0.997125 c8 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0.999521 c112 c10 c6 c6 0.999521 0.998877 0.998187 +SRR17915120 18840 17940 22.0 SRR17915107 0.758006 c113 c86 c84 c41 +SRR17915075 18885 17571 23.0 SRR17915112 0.999650 c114 c11 c11 c3 0.999650 0.999650 0.997718 +SRR17915061 18649 17540 21.0 SRR17915090 0.998325 c115 c87 c85 c5 0.997901 +SRR17915152 18742 17548 22.0 SRR19388293 0.997688 c116 c88 c86 c42 +SRR17915142 19118 17742 20.0 SRR17915079 0.997932 c117 c89 c87 c43 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/diaporthe_citri.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/diaporthe_citri.clones.tsv new file mode 100644 index 00000000..6236bc67 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/diaporthe_citri.clones.tsv @@ -0,0 +1,7 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR12578327 56393 54679 8.0 SRR12887674 0.993598 c1 c1 c1 c1 +SRR12578328 52107 50654 9.0 SRR12887674 0.994596 c2 c2 c2 c2 +SRR12883651 54809 53110 9.0 SRR12578328 0.934169 c3 c3 c3 c3 +SRR12883652 53133 51302 9.0 SRR12578328 0.867299 c4 c4 c4 c4 +SRR12887674 57432 55254 17.0 SRR12578328 0.994596 c5 c5 c5 c5 +SRR12578329 56772 55259 7.0 SRR12578327 0.989116 c6 c6 c6 c6 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/diaporthe_eres.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/diaporthe_eres.clones.tsv new file mode 100644 index 00000000..2043ac14 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/diaporthe_eres.clones.tsv @@ -0,0 +1,8 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR16214651 56420 54302 7.0 SRR30557492 0.948814 c1 c1 c1 c1 +SRR24948449 58549 53824 7.0 SRR30557492 0.970914 c2 c2 c2 c2 +SRR30557494 56579 53957 8.0 SRR30557500 0.976438 c3 c3 c3 c3 +SRR30557492 56396 53566 8.0 SRR30557494 0.976205 c4 c4 c4 c4 +SRR30557493 56074 53440 8.0 SRR30557500 0.976399 c5 c5 c5 c5 +SRR30557500 54375 52380 8.0 SRR30557495 0.976602 c6 c6 c6 c6 +SRR30557495 54512 52061 8.0 SRR30557500 0.976602 c7 c7 c7 c7 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/diplodia_sapinea.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/diplodia_sapinea.clones.tsv new file mode 100644 index 00000000..d8208c87 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/diplodia_sapinea.clones.tsv @@ -0,0 +1,13 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR32830890 37844 37129 12.0 SRR32830893 0.998796 c1 c2 c3 c1 0.998480 +SRR32830892 37767 36909 11.0 SRR32830894 0.998861 c2 c3 c4 c1 0.998480 +SRR16940148 38161 36500 11.0 SRR16940212 0.998504 c3 c4 c5 c2 0.998480 +SRR16940159 37662 36564 12.0 SRR16940212 0.999617 c4 c1 c2 c2 0.999617 0.999617 0.998480 +SRR16940212 37878 36536 12.0 SRR16940159 0.999617 c5 c1 c2 c2 0.999617 0.999617 0.998480 +SRR32830887 37222 36534 12.0 SRR32830893 0.999207 c6 c5 c1 c1 0.998809 0.998480 +SRR32830896 37736 36168 21.0 SRR32830893 0.999182 c7 c6 c1 c1 0.998809 0.998480 +SRR32830885 37440 36423 11.0 SRR32830888 0.999423 c8 c7 c1 c1 0.998809 0.998480 +SRR32830886 37330 36612 12.0 SRR32830885 0.999375 c9 c8 c1 c1 0.998809 0.998480 +SRR32830894 38082 36740 11.0 SRR32830893 0.999091 c10 c9 c1 c1 0.998809 0.998480 +SRR32830893 37418 36606 12.0 SRR32830886 0.999338 c11 c10 c1 c1 0.998809 0.998480 +SRR32830888 37232 36486 12.0 SRR32830885 0.999423 c12 c11 c1 c1 0.998809 0.998480 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/diutina_catenulata.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/diutina_catenulata.clones.tsv new file mode 100644 index 00000000..82448c0e --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/diutina_catenulata.clones.tsv @@ -0,0 +1,73 @@ +run hashes solid_hashes median_abund 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34783 9.0 SRR23856887 0.999254 c13 c23 c1 c2 0.998709 0.998709 +SRR19051649 35713 34626 10.0 SRR23856867 0.999618 c14 c4 c1 c2 0.999499 0.998709 0.998709 +SRR17886774 35351 34280 10.0 SRR17886777 0.999640 c15 c8 c7 c1 0.999640 0.999640 0.997596 +SRR17886783 35302 34051 10.0 SRR17886776 0.999631 c16 c3 c2 c3 0.999583 0.998806 0.998806 +SRR17886780 35300 34286 10.0 SRR17886785 0.999655 c17 c7 c4 c1 0.999632 0.999632 0.997596 +SRR19051653 35911 34670 10.0 SRR19051658 0.999593 c18 c1 c1 c2 0.999450 0.998709 0.998709 +SRR19051660 35652 34648 10.0 SRR23856887 0.999526 c19 c9 c1 c2 0.999526 0.998709 0.998709 +SRR19051659 35552 34546 10.0 SRR19051652 0.999636 c20 c5 c1 c2 0.999452 0.998709 0.998709 +ERR4009696 33982 29584 6.0 SRR23856887 0.996800 c21 c24 c19 c9 +ERR4009732 32664 27911 5.0 ERR4019858 0.996066 c22 c25 c20 c10 +ERR4019858 33735 30307 6.0 SRR23856887 0.997358 c23 c26 c21 c11 +ERR4009623 33659 30012 6.0 SRR23856887 0.997023 c24 c27 c22 c12 +SRR14371369 35511 34074 9.0 SRR14371251 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SRR19051648 0.999488 c37 c35 c1 c2 0.998709 0.998709 +SRR19051650 35808 34421 9.0 SRR19051648 0.999367 c38 c36 c1 c2 0.998709 0.998709 +SRR19051658 35789 34689 10.0 SRR23856871 0.999633 c39 c1 c1 c2 0.999450 0.998709 0.998709 +SRR19051655 35711 34526 10.0 SRR23856867 0.999577 c40 c4 c1 c2 0.999499 0.998709 0.998709 +SRR16781348 35794 34547 9.0 SRR19051652 0.999563 c41 c5 c1 c2 0.999452 0.998709 0.998709 +SRR4091036 35096 31563 5.0 SRR23856887 0.997470 c42 c37 c27 c13 +ERR4057078 28152 21976 4.0 ERR4009676 0.992763 c43 c38 c28 c14 +SRR14371378 35002 33719 9.0 SRR14371374 0.999583 c44 c10 c8 c1 0.999583 0.999583 0.997596 +SRR23856877 35821 34567 10.0 SRR19051659 0.999614 c45 c5 c1 c2 0.999452 0.998709 0.998709 +SRR17886778 34888 33815 10.0 SRR17886786 0.999595 c46 c11 c2 c3 0.999595 0.998806 0.998806 +SRR19051654 35985 34404 9.0 SRR19051652 0.999244 c47 c39 c1 c2 0.998709 0.998709 +ERR4000303 32811 28701 6.0 SRR23856869 0.996592 c48 c40 c29 c15 +SRR14371255 35491 34067 9.0 SRR14371266 0.998927 c49 c41 c30 c1 0.997596 +SRR23856866 35373 34347 10.0 SRR23856874 0.999315 c50 c42 c1 c2 0.998709 0.998709 +SRR17886776 35027 34065 10.0 SRR17886779 0.999650 c51 c3 c2 c3 0.999583 0.998806 0.998806 +SRR19051652 35679 34674 10.0 SRR19051659 0.999636 c52 c5 c1 c2 0.999452 0.998709 0.998709 +ERR3997370 31923 27563 5.0 ERR4008161 0.995942 c53 c43 c31 c16 +SRR14371306 35443 34240 10.0 SRR14371305 0.999640 c54 c12 c9 c1 0.999640 0.999640 0.997596 +SRR23856882 35084 34072 10.0 SRR17886784 0.999643 c55 c6 c3 c1 0.999525 0.999060 0.997596 +SRR17886777 35307 34259 10.0 SRR17886774 0.999640 c56 c8 c7 c1 0.999640 0.999640 0.997596 +SRR19051657 35811 34585 10.0 SRR23856867 0.999607 c57 c4 c1 c2 0.999499 0.998709 0.998709 +ERR4020028 33960 29167 5.0 SRR19051660 0.996670 c58 c44 c32 c17 +SRR14371363 35393 33641 9.0 SRR14371259 0.998729 c59 c45 c33 c1 0.997596 +SRR23856880 35195 34140 10.0 SRR17886775 0.999603 c60 c3 c2 c3 0.999583 0.998806 0.998806 +SRR17886785 35393 34324 10.0 SRR17886780 0.999655 c61 c7 c4 c1 0.999632 0.999632 0.997596 +SRR19051661 36076 34691 10.0 SRR19051652 0.999549 c62 c5 c1 c2 0.999452 0.998709 0.998709 +ERR4003359 33572 29526 6.0 SRR23856887 0.996984 c63 c46 c34 c18 +SRR14371373 35244 34009 9.0 SRR14371305 0.998975 c64 c47 c35 c1 0.997596 +SRR23856859 35196 34070 10.0 SRR17886782 0.999617 c65 c2 c2 c3 0.999488 0.998806 0.998806 +SRR17886787 35188 34118 10.0 SRR23856883 0.999657 c66 c13 c3 c1 0.999657 0.999060 0.997596 +SRR19051662 35684 34661 10.0 SRR19051658 0.999382 c67 c48 c1 c2 0.998709 0.998709 +ERR4000210 32328 28597 6.0 SRR23856870 0.996681 c68 c49 c36 c19 +SRR14371374 34980 33788 10.0 SRR14371378 0.999583 c69 c10 c8 c1 0.999583 0.999583 0.997596 +SRR23856886 47569 40100 7.0 SRR23856874 0.995683 c70 c50 c37 c20 +SRR17886786 35004 34079 10.0 SRR17886778 0.999595 c71 c11 c2 c3 0.999595 0.998806 0.998806 +SRR19051648 35679 34644 10.0 SRR19051658 0.999609 c72 c1 c1 c2 0.999450 0.998709 0.998709 +ERR4020001 33447 29409 6.0 SRR23856887 0.996775 c73 c51 c38 c21 +SRR14371292 35352 33707 9.0 SRR14371378 0.998877 c74 c52 c39 c1 0.997596 +SRR23856879 34840 33975 10.0 SRR23856878 0.999267 c75 c53 c5 c1 0.998986 0.997596 +SRR17886784 35082 33994 10.0 SRR23856882 0.999643 c76 c6 c3 c1 0.999525 0.999060 0.997596 +SRR19051656 35474 34376 10.0 SRR23856869 0.999364 c77 c54 c1 c2 0.998709 0.998709 +ERR4009349 34567 28971 5.0 SRR19051662 0.995840 c78 c55 c40 c22 +SRR14371331 35189 34204 10.0 SRR14371307 0.998975 c79 c56 c41 c1 0.997596 +SRR23856878 35000 33980 10.0 SRR23856879 0.999267 c80 c57 c5 c1 0.998986 0.997596 +ERR4000705 33441 29186 6.0 SRR23856887 0.996353 c81 c58 c42 c23 +SRR14371314 35864 34451 9.0 SRR14371249 0.999139 c82 c59 c10 c1 0.999139 0.997596 +SRR23856870 35788 34675 10.0 SRR19051660 0.999458 c83 c60 c1 c2 0.998709 0.998709 +ERR4019947 33632 29949 6.0 SRR23856887 0.997148 c84 c61 c43 c24 +SRR14371256 35864 34370 9.0 SRR14371322 0.998890 c85 c62 c44 c1 0.997596 +SRR23856867 35672 34635 10.0 SRR19051649 0.999618 c86 c4 c1 c2 0.999499 0.998709 0.998709 +ERR3997390 32036 27434 5.0 ERR4008161 0.995910 c87 c63 c45 c25 +SRR14371379 36132 34324 9.0 SRR14371370 0.998832 c88 c64 c46 c1 0.997596 +SRR23856885 35046 34030 10.0 SRR17886781 0.999685 c89 c2 c2 c3 0.999488 0.998806 0.998806 +ERR4020019 34077 29349 5.0 ERR4019948 0.996422 c90 c65 c47 c26 +SRR14371304 35977 34436 9.0 SRR14371276 0.998920 c91 c66 c48 c1 0.997596 +SRR23856860 35407 34180 10.0 SRR17886782 0.999576 c92 c2 c2 c3 0.999488 0.998806 0.998806 +ERR4008160 32328 27903 5.0 SRR23856887 0.996296 c93 c67 c49 c27 +SRR14371263 35597 34012 10.0 SRR14371305 0.998986 c94 c68 c50 c1 0.997596 +SRR23856875 35108 34093 10.0 SRR17886776 0.999174 c95 c69 c2 c3 0.998806 0.998806 +ERR3997371 31920 27343 5.0 ERR4008161 0.995960 c96 c70 c51 c28 +SRR14371276 35960 34446 9.0 SRR14371304 0.998920 c97 c71 c52 c1 0.997596 +SRR23856871 35640 34508 10.0 SRR19051658 0.999633 c98 c1 c1 c2 0.999450 0.998709 0.998709 +ERR3997366 31944 27307 5.0 SRR23856887 0.995776 c99 c72 c53 c29 +SRR14371326 36430 34523 8.0 SRR14371334 0.998853 c100 c73 c54 c1 0.997596 +SRR23856887 35698 34653 10.0 SRR19051660 0.999526 c101 c9 c1 c2 0.999526 0.998709 0.998709 +ERR3999824 31447 26763 5.0 ERR4008161 0.995800 c102 c74 c55 c30 +SRR14371380 35696 34312 9.0 SRR14371391 0.998951 c103 c75 c56 c1 0.997596 +SRR23856883 35145 34161 10.0 SRR17886787 0.999657 c104 c13 c3 c1 0.999657 0.999060 0.997596 +ERR4000683 32414 27998 5.0 ERR4008161 0.996010 c105 c76 c57 c31 +SRR14371368 35751 34513 9.0 SRR14371275 0.999016 c106 c77 c6 c1 0.999016 0.997596 +SRR23856881 35097 33825 9.0 SRR23856882 0.999544 c107 c6 c3 c1 0.999525 0.999060 0.997596 +ERR4019929 33411 28981 6.0 ERR4009570 0.996383 c108 c78 c58 c32 +SRR14371385 35831 34176 9.0 SRR23856878 0.999226 c109 c79 c5 c1 0.998986 0.997596 +SRR23856862 35129 34075 10.0 SRR23856882 0.999630 c110 c6 c3 c1 0.999525 0.999060 0.997596 +ERR4009638 34040 29792 6.0 SRR23856887 0.996850 c111 c80 c59 c33 +SRR14371391 35700 34328 9.0 SRR14371380 0.998951 c112 c81 c60 c1 0.997596 +SRR23856884 34813 33864 10.0 SRR23856876 0.999468 c113 c82 c2 c3 0.998806 0.998806 +ERR4019870 33505 29357 6.0 SRR23856887 0.997003 c114 c83 c61 c34 +SRR14371366 35384 33724 8.0 SRR14371378 0.998856 c115 c84 c62 c1 0.997596 +SRR23856874 35488 34496 10.0 SRR23856866 0.999315 c116 c85 c1 c2 0.998709 0.998709 +ERR4019998 32225 27449 5.0 SRR19051660 0.996326 c117 c86 c63 c35 +SRR14371370 35550 34186 9.0 SRR14371305 0.999004 c118 c87 c64 c1 0.997596 +SRR23856873 36056 34673 10.0 SRR23856867 0.999565 c119 c4 c1 c2 0.999499 0.998709 0.998709 +ERR4020011 34437 29856 6.0 SRR23856887 0.996655 c120 c88 c65 c36 +SRR14371251 35158 34221 11.0 SRR14371249 0.999028 c121 c89 c66 c1 0.997596 +SRR23856861 35338 34131 10.0 SRR17886782 0.999632 c122 c2 c2 c3 0.999488 0.998806 0.998806 +ERR3997379 31217 26618 5.0 ERR4000683 0.995618 c123 c90 c67 c37 +SRR14371298 35563 34084 9.0 SRR14371385 0.998923 c124 c91 c68 c1 0.997596 +ERR4019918 34130 29959 6.0 SRR19051648 0.997118 c125 c92 c69 c38 +SRR14371317 35386 34063 9.0 SRR14371357 0.998827 c126 c93 c70 c1 0.997596 +ERR4019851 33570 29517 6.0 SRR23856887 0.996951 c127 c94 c71 c39 +SRR14371307 36040 34572 9.0 SRR14371331 0.998975 c128 c95 c72 c1 0.997596 +ERR3997388 31167 26627 5.0 ERR4000683 0.995609 c129 c96 c73 c40 +SRR14371249 35772 34458 9.0 SRR14371314 0.999139 c130 c97 c10 c1 0.999139 0.997596 +ERR4009689 33979 29640 6.0 ERR4019948 0.996717 c131 c98 c74 c41 +SRR14371286 35117 33935 9.0 SRR14371373 0.998910 c132 c99 c75 c1 0.997596 +ERR4009731 33942 29806 6.0 SRR23856887 0.996931 c133 c100 c76 c42 +SRR14371305 35212 34061 10.0 SRR14371306 0.999640 c134 c12 c9 c1 0.999640 0.999640 0.997596 +ERR4009683 34167 29935 6.0 ERR4019948 0.996708 c135 c101 c77 c43 +SRR14371322 35455 34070 9.0 SRR14371385 0.998914 c136 c102 c78 c1 0.997596 +ERR4008161 33472 29844 6.0 ERR4019858 0.996966 c137 c103 c79 c44 +SRR14371330 34901 33168 8.0 SRR14371370 0.998733 c138 c104 c80 c1 0.997596 +ERR4019953 34160 30202 6.0 SRR23856887 0.997435 c139 c105 c81 c45 +ERR4000702 32500 27924 5.0 ERR4008161 0.996311 c140 c106 c82 c46 +ERR3997385 32272 27823 5.0 ERR4008161 0.996329 c141 c107 c83 c47 +ERR4019948 34101 30739 6.0 ERR4009691 0.997197 c142 c108 c84 c48 +ERR4019939 33438 29589 6.0 SRR23856887 0.997081 c143 c109 c85 c49 +ERR3997484 31427 26510 5.0 SRR23856887 0.995343 c144 c110 c86 c50 +ERR4000684 31241 26435 5.0 ERR4008161 0.995437 c145 c111 c87 c51 +ERR4020004 34363 28922 6.0 SRR23856869 0.995727 c146 c112 c88 c52 +ERR4020002 33823 29241 5.0 SRR23856870 0.996774 c147 c113 c89 c53 +ERR4000704 31854 26989 5.0 ERR4008161 0.995722 c148 c114 c90 c54 +ERR3997384 31791 27156 5.0 ERR4008161 0.996031 c149 c115 c91 c55 +ERR4009692 34545 29230 5.0 ERR4019858 0.996288 c150 c116 c92 c56 +ERR3997368 30770 25859 5.0 ERR4008161 0.994980 c151 c117 c93 c57 +ERR4009704 34050 30283 6.0 SRR23856887 0.997245 c152 c118 c94 c58 +ERR4009685 33824 29937 6.0 SRR23856887 0.997051 c153 c119 c95 c59 +ERR4009569 33355 29204 6.0 SRR23856870 0.996767 c154 c120 c96 c60 +ERR4009595 34212 30432 6.0 SRR23856887 0.997238 c155 c121 c97 c61 +ERR4009691 34193 30497 6.0 ERR4019948 0.997197 c156 c122 c98 c62 +ERR4019999 33906 29931 6.0 SRR19051658 0.997350 c157 c123 c99 c63 +ERR4009681 34052 28237 5.0 ERR4019948 0.995767 c158 c124 c100 c64 +ERR4009350 34113 30187 6.0 SRR23856887 0.996979 c159 c125 c101 c65 +ERR4019949 33396 29031 6.0 ERR4009623 0.996248 c160 c126 c102 c66 +ERR4009496 34346 29811 6.0 SRR23856869 0.996895 c161 c127 c103 c67 +ERR4009700 34350 29790 6.0 ERR4019948 0.996726 c162 c128 c104 c68 +ERR4009695 34362 30396 6.0 SRR23856887 0.997133 c163 c129 c105 c69 +ERR4009461 34284 29583 6.0 SRR23856870 0.996469 c164 c130 c106 c70 +ERR4009395 34093 29635 6.0 SRR23856869 0.996535 c165 c131 c107 c71 +ERR4009684 33779 29875 6.0 SRR23856887 0.996898 c166 c132 c108 c72 +ERR4009690 33862 29594 6.0 SRR23856887 0.996785 c167 c133 c109 c73 +ERR4009344 33309 29054 6.0 SRR23856869 0.996681 c168 c134 c110 c74 +ERR4009531 34087 30602 6.0 SRR19051648 0.997635 c169 c135 c111 c75 +ERR3997393 32970 28860 6.0 ERR4008161 0.996730 c170 c136 c112 c76 +ERR4009533 33867 29617 6.0 ERR4019948 0.996771 c171 c137 c113 c77 +ERR4009592 34050 29946 6.0 ERR4019948 0.996861 c172 c138 c114 c78 +ERR4009701 33538 28943 6.0 ERR4019948 0.996445 c173 c139 c115 c79 +ERR4009687 33656 29783 6.0 SRR23856887 0.997130 c174 c140 c116 c80 +ERR4009345 34081 29806 6.0 SRR19051660 0.996962 c175 c141 c117 c81 +ERR4009702 33336 28845 5.0 SRR23856887 0.996309 c176 c142 c118 c82 +ERR4009572 34263 30173 6.0 SRR23856887 0.996959 c177 c143 c119 c83 +ERR4009570 33645 29739 6.0 SRR23856887 0.996962 c178 c144 c120 c84 +ERR4019950 32581 28163 5.0 SRR23856887 0.996397 c179 c145 c121 c85 +ERR4009676 32661 28029 5.0 SRR23856887 0.996222 c180 c146 c122 c86 +ERR4009286 34518 29645 6.0 SRR19051658 0.996364 c181 c147 c123 c87 +ERR4009342 34158 29605 6.0 SRR23856870 0.996630 c182 c148 c124 c88 +ERR4009503 33812 29592 6.0 SRR23856887 0.996881 c183 c149 c125 c89 +ERR4009642 34065 29795 6.0 SRR23856887 0.996790 c184 c150 c126 c90 +ERR4009346 34149 30070 6.0 SRR19051648 0.997025 c185 c151 c127 c91 +ERR4009341 34541 29064 6.0 SRR23856887 0.995872 c186 c152 c128 c92 +ERR4009532 34307 30108 6.0 ERR4019948 0.996965 c187 c153 c129 c93 +ERR4009539 34474 29450 6.0 ERR4019948 0.996336 c188 c154 c130 c94 +ERR4009652 33444 28988 6.0 SRR23856887 0.996536 c189 c155 c131 c95 +ERR4019951 32905 28691 6.0 SRR23856887 0.996734 c190 c156 c132 c96 +ERR4019876 33275 29221 6.0 SRR23856887 0.996861 c191 c157 c133 c97 +ERR4009679 33803 29797 6.0 SRR23856887 0.996923 c192 c158 c134 c98 +ERR4009568 34369 29666 6.0 ERR4019948 0.996364 c193 c159 c135 c99 +ERR4009534 33841 29176 6.0 ERR4019948 0.996423 c194 c160 c136 c100 +ERR4009626 33544 29273 6.0 SRR23856887 0.996619 c195 c161 c137 c101 +ERR4009347 33493 29407 6.0 SRR23856869 0.997279 c196 c162 c138 c102 +ERR4009343 33475 29560 6.0 SRR23856869 0.996954 c197 c163 c139 c103 +ERR4009594 32967 28920 6.0 SRR23856887 0.996652 c198 c164 c140 c104 +ERR4009536 33972 29695 6.0 ERR4019948 0.996879 c199 c165 c141 c105 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/fulvia_fulva.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/fulvia_fulva.clones.tsv new file mode 100644 index 00000000..3673cdef --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/fulvia_fulva.clones.tsv @@ -0,0 +1,19 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR24308460 37293 30178 4.0 SRR33824052 0.994495 c1 c1 c1 c4 +SRR33824042 38892 37036 8.0 SRR33824043 0.998800 c2 c2 c2 c1 0.997752 +SRR33824041 36817 34244 10.0 SRR33824049 0.998320 c3 c3 c3 c5 +SRR33824044 35935 33357 11.0 SRR33824051 0.998262 c4 c4 c4 c2 0.998056 +SRR33824039 35538 33863 12.0 SRR33824051 0.998921 c5 c5 c5 c2 0.998056 +SRR24308469 31065 21036 3.0 SRR33824052 0.987727 c6 c6 c6 c6 +SRR25343506 39144 37665 7.0 SRR33824042 0.998425 c7 c7 c7 c3 0.998132 +SRR33824045 39909 37280 8.0 SRR33824042 0.998724 c8 c8 c8 c1 0.997752 +SRR33824043 38528 36611 8.0 SRR33824049 0.998910 c9 c9 c9 c1 0.997752 +SRR33824049 37947 36447 9.0 SRR33824043 0.998910 c10 c10 c10 c1 0.997752 +SRR33824051 36551 34955 11.0 SRR33824039 0.998921 c11 c11 c11 c2 0.998056 +SRR33824047 37634 36094 9.0 SRR33824049 0.998566 c12 c12 c12 c3 0.998132 +SRR33824040 45544 39903 9.0 SRR33824051 0.995520 c13 c13 c13 c7 +SRR33824046 35403 33261 12.0 SRR33824039 0.998573 c14 c14 c14 c2 0.998056 +SRR33824050 38283 36546 8.0 SRR33824049 0.997960 c15 c15 c15 c8 +SRR33824053 39914 37409 7.0 SRR33824052 0.998772 c16 c16 c16 c1 0.997752 +SRR33824048 39433 36586 7.0 SRR33824042 0.998598 c17 c17 c17 c1 0.997752 +SRR33824052 39109 36570 6.0 SRR33824053 0.998772 c18 c18 c18 c1 0.997752 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/fusarium_ambrosium.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_ambrosium.clones.tsv new file mode 100644 index 00000000..f75cb9c7 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_ambrosium.clones.tsv @@ -0,0 +1,5 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR36497347 51549 43639 6.0 SRR36497384 0.985245 c1 c1 c1 c1 +SRR36497336 52617 46461 7.0 SRR36497384 0.989408 c2 c2 c2 c2 +SRR36497384 51672 48891 7.0 SRR36497358 0.997880 c3 c3 c3 c3 +SRR36497358 48787 44481 6.0 SRR36497384 0.997880 c4 c4 c4 c4 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/fusarium_annulatum.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_annulatum.clones.tsv new file mode 100644 index 00000000..f1046dd5 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_annulatum.clones.tsv @@ -0,0 +1,7 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 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37202 12.0 SRR26696009 0.999475 c292 c291 c15 c12 0.999475 0.998157 +SRR21540839 61536 44020 4.0 SRR21620629 0.990086 c293 c292 c280 c246 +SRR26696003 38703 37041 12.0 SRR21529709 0.997780 c294 c293 c281 c247 +SRR21529694 37538 36801 12.0 SRR21529692 0.999892 c295 c4 c14 c8 0.999892 0.999892 0.998036 +SRR26695991 40379 38232 11.0 SRR26696015 0.998510 c296 c294 c282 c10 0.998259 +SRR21620633 61213 42643 4.0 SRR21529701 0.992327 c297 c295 c283 c248 +SRR26696008 39842 37451 11.0 SRR26696014 0.999154 c298 c296 c16 c27 0.999154 0.999154 +SRR26695927 39773 37378 11.0 SRR26695928 0.997784 c299 c297 c284 c249 +SRR21529705 38070 37479 12.0 SRR26695928 0.998086 c300 c298 c285 c250 +SRR26695923 40726 38383 11.0 SRR21529693 0.997686 c301 c299 c286 c251 +SRR21620623 79381 41370 3.0 SRR21620621 0.986618 c302 c300 c287 c252 +SRR26695943 39107 37179 12.0 SRR26696007 0.998281 c303 c301 c288 c28 0.998281 +SRR21540848 43822 40144 6.0 DRR830159 0.992022 c304 c302 c289 c253 +SRR26695931 39254 37180 11.0 SRR21529709 0.997500 c305 c303 c290 c254 +SRR21620625 37065 36005 7.0 SRR21540850 0.997653 c306 c304 c291 c255 +SRR26695964 41071 38519 10.0 SRR21529709 0.997372 c307 c305 c292 c256 +SRR21620627 37233 36718 12.0 SRR21529703 0.999527 c308 c3 c9 c6 0.999527 0.999527 0.997882 +SRR26696020 40091 37497 11.0 SRR26696010 0.997740 c309 c306 c293 c257 +SRR21529710 36822 35745 8.0 SRR33528319 0.997212 c310 c307 c294 c258 +SRR26696019 39359 37257 12.0 SRR21540832 0.997801 c311 c308 c295 c259 +SRR21620622 36743 35679 8.0 SRR33409545 0.997593 c312 c309 c296 c260 +SRR26695930 39448 37152 11.0 SRR26696009 0.997341 c313 c310 c297 c261 +SRR21540846 36834 35697 7.0 SRR26695963 0.997859 c314 c311 c298 c262 +SRR26695960 39899 37441 11.0 SRR26695932 0.996711 c315 c312 c299 c263 +SRR21620620 51774 35479 4.0 SRR21620621 0.990114 c316 c313 c300 c264 +SRR26695980 39449 37399 11.0 SRR26695941 0.998180 c317 c314 c301 c18 0.998180 +SRR21620624 51132 33216 3.0 ERR5986538 0.993398 c318 c315 c302 c265 +SRR26696011 39852 37367 11.0 SRR21529709 0.997855 c319 c316 c303 c266 +SRR21620621 37226 36171 7.0 ERR5986539 0.999131 c320 c317 c7 c22 0.999131 0.999131 +SRR26696000 38265 36778 12.0 SRR33528319 0.997003 c321 c318 c304 c267 +SRR21529706 37463 36765 12.0 SRR21540847 0.998862 c322 c319 c305 c1 0.997746 +SRR26696013 38579 37066 12.0 SRR21529701 0.997458 c323 c320 c306 c268 +SRR21540844 36682 35419 7.0 SRR21540847 0.999048 c324 c321 c307 c1 0.997746 +SRR26695981 39603 37205 10.0 SRR5948944 0.996647 c325 c322 c308 c269 +SRR21540845 52497 34452 3.0 SRR21540854 0.988553 c326 c323 c309 c270 +SRR26695995 38621 37056 12.0 SRR21529703 0.996641 c327 c324 c310 c271 +SRR21529693 38772 38040 11.0 SRR21540847 0.998050 c328 c325 c311 c272 +SRR26696001 38731 37047 12.0 SRR33528319 0.997204 c329 c326 c312 c273 +SRR21529707 37995 37346 12.0 SRR21540850 0.999083 c330 c327 c13 c26 0.999083 0.999083 +SRR26695958 40025 37489 11.0 SRR26695953 0.998698 c331 c328 c313 c29 0.998698 +SRR21529709 37488 36770 12.0 SRR21540832 0.998207 c332 c329 c314 c23 0.998203 +SRR26695959 40514 37500 11.0 SRR26696005 0.997867 c333 c330 c315 c274 +SRR21529695 49424 32529 3.0 SRR5948944 0.989664 c334 c331 c316 c275 +SRR26696023 39011 37025 11.0 SRR21529701 0.996975 c335 c332 c317 c276 +SRR21620605 37347 36099 11.0 SRR21529709 0.997523 c336 c333 c318 c277 +SRR26696014 38923 37189 12.0 SRR26696008 0.999154 c337 c334 c16 c27 0.999154 0.999154 +SRR21620635 37031 35812 14.0 SRR21529701 0.997461 c338 c335 c319 c278 +SRR26695992 39065 37231 11.0 SRR21529707 0.997790 c339 c336 c320 c279 +SRR21529708 37458 36846 12.0 SRR21529709 0.998126 c340 c337 c321 c280 +SRR26695979 38643 36934 12.0 SRR21529709 0.997841 c341 c338 c322 c281 +SRR26695954 39048 37110 12.0 SRR21529700 0.997770 c342 c339 c323 c282 +SRR26696012 38397 37015 12.0 SRR21540847 0.998698 c343 c340 c324 c1 0.997746 +SRR26695987 38952 36909 10.0 SRR21540847 0.996919 c344 c341 c325 c283 +SRR26695945 41324 38654 10.0 SRR26695923 0.997549 c345 c342 c326 c284 +SRR26695962 40239 37489 11.0 SRR26696004 0.997478 c346 c343 c327 c285 +SRR26695984 38300 36792 12.0 SRR33528319 0.997161 c347 c344 c328 c286 +SRR26695953 39818 37628 11.0 SRR26695958 0.998698 c348 c345 c329 c29 0.998698 +SRR26695947 39286 37139 11.0 SRR2544634 0.998717 c349 c346 c330 c16 0.998717 +SRR26695936 39129 37086 12.0 SRR26696005 0.998271 c350 c347 c331 c13 0.997975 +SRR26696007 38796 37241 12.0 SRR26695943 0.998281 c351 c348 c332 c28 0.998281 +SRR26695951 39412 37133 11.0 SRR21540847 0.998459 c352 c349 c333 c1 0.997746 +SRR26695928 39577 37271 11.0 SRR26695926 0.998313 c353 c350 c334 c9 0.998044 +SRR26696005 38449 36946 12.0 SRR21540847 0.998568 c354 c351 c335 c13 0.997975 +SRR26696009 38688 37132 12.0 SRR26695955 0.999475 c355 c352 c15 c12 0.999475 0.998157 +SRR26695948 40078 37349 11.0 SRR26695943 0.997758 c356 c353 c336 c287 +SRR26695935 39805 37304 11.0 SRR26695928 0.997669 c357 c354 c337 c288 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/fusarium_keratoplasticum.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_keratoplasticum.clones.tsv new file mode 100644 index 00000000..7a200f38 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_keratoplasticum.clones.tsv @@ -0,0 +1,8 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR37004818 51367 48861 15.0 SRR37004811 0.995071 c1 c1 c1 c1 +SRR37004787 53070 50801 14.0 SRR36184873 0.990804 c2 c2 c2 c2 +SRR18390555 51014 49948 9.0 SRR37004818 0.993113 c3 c3 c3 c3 +SRR18390558 49323 48010 9.0 SRR37004781 0.994818 c4 c4 c4 c4 +SRR37004811 51118 49354 15.0 SRR37004818 0.995071 c5 c5 c5 c5 +SRR37004781 53161 50868 14.0 SRR18390558 0.994818 c6 c6 c6 c6 +SRR36184873 47674 44466 9.0 SRR18390558 0.991689 c7 c7 c7 c7 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/fusarium_lateritium.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_lateritium.clones.tsv new file mode 100644 index 00000000..7379cacf --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_lateritium.clones.tsv @@ -0,0 +1,17 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR30921457 40411 39734 11.0 SRR30921458 0.993998 c1 c1 c1 c1 +SRR30921455 37640 37193 12.0 SRR30921462 0.996588 c2 c2 c2 c2 +SRR30921458 39845 39323 12.0 SRR30921457 0.993998 c3 c3 c3 c3 +SRR30921463 40594 39774 10.0 SRR30921457 0.993526 c4 c4 c4 c4 +SRR11558082 51957 47425 9.0 SRR30921452 0.902580 c5 c5 c5 c5 +SRR30921459 38603 28755 5.0 SRR30921460 0.920632 c6 c6 c6 c6 +SRR30921462 37945 37460 12.0 SRR30921455 0.996588 c7 c7 c7 c7 +SRR30921464 38376 37544 12.0 SRR30921455 0.954308 c8 c8 c8 c8 +SRR30921465 21422 12434 3.0 SRR30921458 0.958412 c9 c9 c9 c9 +SRR30921454 40212 39496 12.0 SRR30921458 0.993997 c10 c10 c10 c10 +SRR30921466 37937 37397 11.0 SRR30921463 0.857056 c11 c11 c11 c11 +SRR30921467 40759 40195 11.0 SRR30921460 0.992051 c12 c12 c12 c12 +SRR30921452 47376 46495 10.0 SRR11558082 0.902580 c13 c13 c13 c13 +SRR30921453 44533 43923 11.0 SRR30921452 0.800426 c14 c14 c14 c14 +SRR30921460 40189 39477 12.0 SRR30921458 0.993568 c15 c15 c15 c15 +SRR30921456 38981 38467 12.0 SRR30921458 0.993549 c16 c16 c16 c16 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/fusarium_meridionale.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_meridionale.clones.tsv new file mode 100644 index 00000000..635363bd --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_meridionale.clones.tsv @@ -0,0 +1,6 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR27384769 38012 36864 11.0 SRR27384782 0.998225 c1 c1 c1 c1 0.998108 +SRR19748944 37724 36877 12.0 SRR27384782 0.998184 c2 c2 c2 c2 +SRR27384771 38120 37137 12.0 SRR27384782 0.998227 c3 c3 c3 c1 0.998108 +SRR27384781 39269 37623 10.0 SRR19748944 0.996367 c4 c4 c4 c3 +SRR27384782 38220 37063 11.0 SRR27384771 0.998227 c5 c5 c5 c1 0.998108 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/fusarium_nygamai.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_nygamai.clones.tsv new file mode 100644 index 00000000..74bc28d1 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/fusarium_nygamai.clones.tsv @@ -0,0 +1,6 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR5194936 49613 48518 7.0 ERR4080209 0.988499 c1 c1 c1 c1 +ERR4080209 48796 47573 7.0 SRR5194936 0.988499 c2 c2 c2 c2 +SRR18739405 47310 46741 10.0 SRR37004782 0.988479 c3 c3 c3 c3 +SRR37004782 50732 48519 16.0 SRR18739405 0.988479 c4 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0.997348 c66 c63 c59 c51 +SRR20869696 23580 22692 19.0 SRR20869709 0.994850 c67 c64 c60 c52 +SRR20869718 23392 22604 18.0 SRR20869750 0.999974 c1 c1 c2 c4 0.999960 0.999960 0.999960 0.999960 +SRR20869688 23508 22532 18.0 SRR20869666 0.997892 c68 c65 c61 c53 +SRR20869668 23465 22531 18.0 SRR20869737 0.999949 c12 c14 c13 c1 0.999949 0.999949 0.999949 0.997927 +SRR20869736 27310 23923 17.0 SRR20869674 0.997262 c69 c66 c62 c54 +SRR20869671 23405 22557 18.0 SRR20869741 0.999983 c3 c4 c4 c5 0.999975 0.999975 0.999975 0.999975 +SRR20869743 23285 22487 18.0 SRR20869680 0.999969 c4 c5 c5 c3 0.999900 0.999900 0.999900 0.997560 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/hansenula_anomala.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/hansenula_anomala.clones.tsv new file mode 100644 index 00000000..a53c3cb1 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/hansenula_anomala.clones.tsv @@ -0,0 +1,39 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR22306554 19798 19035 21.0 SRR32423805 0.993116 c2 c5 c6 c6 +SRR28171222 19453 18988 22.0 SRR19753938 0.999627 c3 c2 c1 c1 0.999627 0.998862 0.998157 +ERR15308112 14625 12958 13.0 SRR19753940 0.994728 c4 c6 c7 c7 +ERR15308114 16902 15634 10.0 ERR15308140 0.998298 c5 c7 c8 c2 0.997975 +ERR15308140 16778 15872 11.0 SRR26501171 0.998356 c6 c8 c9 c2 0.997975 +ERR15308111 17853 16247 9.0 ERR15308131 0.997785 c7 c9 c10 c8 +SRR26501170 25700 18227 25.0 SRR26501166 0.989911 c8 c10 c11 c9 +SRR26501169 28154 19185 23.0 SRR26501170 0.988802 c9 c11 c12 c10 +SRR26320844 21357 18568 20.0 SRR16974551 0.773586 c10 c12 c13 c11 +SRR11349561 19094 18444 22.0 SRR22306554 0.990410 c11 c13 c14 c12 +SRR12907803 25094 20037 19.0 SRR16974551 0.999837 c12 c3 c4 c4 0.999837 0.999837 0.999837 +SRR19753938 21761 19129 18.0 SRR28171222 0.999627 c13 c2 c1 c1 0.999627 0.998862 0.998157 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c25 c22 +SRR19753939 18434 14964 17.0 SRR19753937 0.993426 c27 c27 c26 c23 +SRR26501166 23769 17667 28.0 SRR26501168 0.999868 c28 c4 c3 c2 0.999868 0.999212 0.997975 +SRR16974551 25500 20027 19.0 SRR12907803 0.999837 c29 c3 c4 c4 0.999837 0.999837 0.999837 +SRR26501168 23339 17672 28.0 SRR26501166 0.999868 c30 c4 c3 c2 0.999868 0.999212 0.997975 +ERR9707009 19102 17306 9.0 SRR26501171 0.994777 c31 c28 c27 c24 +SRR32423805 18350 17409 24.0 SRR32423803 0.999981 c1 c1 c2 c3 0.999960 0.999960 0.999960 0.999960 +SRR32423803 18588 17417 24.0 SRR32423805 0.999981 c1 c1 c2 c3 0.999960 0.999960 0.999960 0.999960 +SRR26501173 24118 18092 29.0 ERR15308131 0.987159 c32 c29 c28 c25 +SRR19753936 21255 18845 18.0 SRR19753934 0.999317 c33 c30 c5 c5 0.999317 0.999317 +SRR32389613 20425 19106 20.0 SRR19753940 0.988990 c34 c31 c29 c26 +SRR26501171 21281 17457 33.0 SRR26501166 0.999293 c35 c32 c3 c2 0.999212 0.997975 +SRR9822044 19618 17856 21.0 SRR28171222 0.999192 c36 c33 c1 c1 0.998862 0.998157 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/histoplasma_capsulatum.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/histoplasma_capsulatum.clones.tsv new file mode 100644 index 00000000..11283f38 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/histoplasma_capsulatum.clones.tsv @@ -0,0 +1,173 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR13508696 15229 14082 9.0 SRR25580057 0.981039 c1 c4 c11 c10 +SRR13433424 29437 28806 14.0 SRR13508697 0.983959 c2 c5 c12 c11 +SRR8084704 29633 29054 11.0 SRR8084708 0.999852 c3 c1 c1 c2 0.999817 0.999369 0.998334 +SRR8084714 29017 28090 11.0 SRR8084716 0.993258 c4 c6 c13 c12 +SRR25580043 35237 33762 9.0 ERR7414368 0.988013 c5 c7 c14 c13 +SRR21059768 31512 28957 19.0 SRR21059746 0.994433 c6 c8 c15 c14 +SRR25580067 32726 29341 8.0 SRR25580018 0.993306 c7 c9 c16 c15 +SRR25580022 31808 28656 23.0 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SRR6450380 0.995088 c20 c18 c17 c14 +SRR6450385 10188 9108 5.0 SRR17013872 0.995254 c21 c19 c18 c15 +SRR34532057 11953 10668 42.0 SRR34532060 0.998710 c22 c20 c19 c7 0.998710 +DRR305125 11341 10685 24.0 DRR305126 0.999989 c2 c2 c2 c2 0.999951 0.999951 0.999951 0.999951 +SRR34532059 12698 11329 40.0 SRR12998348 0.996838 c23 c21 c20 c16 +SRR13099709 13374 10639 79.0 SRR13099710 0.999998 c1 c1 c1 c1 0.999953 0.999953 0.999953 0.999953 +SRR23105049 13425 10500 36.0 SRR13099703 0.887881 c24 c22 c21 c17 +DRR305124 11341 10683 23.0 DRR305126 0.999991 c2 c2 c2 c2 0.999951 0.999951 0.999951 0.999951 +SRR6450380 13587 13215 20.0 SRR10242888 0.995088 c25 c23 c22 c18 +SRR13099703 14002 10640 81.0 SRR13099709 0.999998 c1 c1 c1 c1 0.999953 0.999953 0.999953 0.999953 +SRR6450384 10522 9411 5.0 SRR34532059 0.996469 c26 c24 c23 c19 +SRR22570982 11033 10656 25.0 SRR34532057 0.994974 c27 c25 c24 c20 +DRR305126 11294 10670 23.0 DRR305124 0.999991 c2 c2 c2 c2 0.999951 0.999951 0.999951 0.999951 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b/datasets/reads/sra_survey/pilot/clone_solid/komagataella_phaffii.clones.tsv @@ -0,0 +1,51 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR22543547 10849 9443 36.0 SRR25445902 0.999919 c6 c1 c1 c1 0.999907 0.999349 0.998387 0.996944 +SRR5169035 15598 9526 33.0 SRR5169033 0.999978 c3 c2 c1 c1 0.999883 0.999584 0.998387 0.996944 +SRR8244563 13331 9399 39.0 SRR8244567 0.999912 c4 c1 c1 c1 0.999906 0.999349 0.998387 0.996944 +SRR31400213 10945 9397 46.0 SRR31400209 0.999992 c1 c1 c1 c1 0.999911 0.999349 0.998387 0.996944 +SRR1014247 8901 8132 6.0 SRR17640864 0.998676 c7 c3 c3 c1 0.996944 +SRR22543544 13285 9385 41.0 SRR17640864 0.999972 c2 c1 c1 c1 0.999906 0.999349 0.998387 0.996944 +SRR31400209 10876 9398 48.0 SRR31400205 0.999995 c1 c1 c1 c1 0.999911 0.999349 0.998387 0.996944 +ERR9924581 10757 9420 20.0 ERR9924586 0.999840 c8 c1 c1 c1 0.999349 0.998387 0.996944 +ERR9924588 10056 9390 21.0 ERR9924599 0.999992 c2 c1 c1 c1 0.999906 0.999349 0.998387 0.996944 +ERR9924599 10078 9388 21.0 ERR9924588 0.999992 c2 c1 c1 c1 0.999906 0.999349 0.998387 0.996944 +SRR10569313 10146 9400 48.0 SRR8244571 0.998090 c9 c4 c4 c2 0.998090 +ERR9924585 10760 9485 20.0 SRR22543544 0.999874 c10 c1 c1 c1 0.999349 0.998387 0.996944 +SRR10569314 9956 9379 49.0 SRR17640864 0.998353 c11 c5 c5 c1 0.996944 +SRR10569320 9989 9406 48.0 SRR10569334 0.998411 c12 c6 c6 c3 0.998411 +SRR10569343 10041 9368 49.0 SRR10569334 0.998303 c13 c7 c7 c4 0.998296 +SRR17640866 10227 9392 46.0 SRR17640864 0.999959 c2 c1 c1 c1 0.999906 0.999349 0.998387 0.996944 +SRR5169049 18246 9770 36.0 SRR5169047 0.999914 c14 c2 c1 c1 0.999584 0.998387 0.996944 +SRR17640864 9965 9378 48.0 SRR22543544 0.999972 c2 c1 c1 c1 0.999906 0.999349 0.998387 0.996944 +SRR5169038 17776 9961 34.0 SRR5169045 0.999952 c5 c2 c1 c1 0.999952 0.999584 0.998387 0.996944 +SRR5169041 20393 12776 8.0 SRR5169038 0.997346 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SRR22543544 0.999922 c6 c1 c1 c1 0.999907 0.999349 0.998387 0.996944 +SRR22543543 12416 10093 17.0 SRR22543546 0.999399 c24 c15 c2 c5 0.999399 0.999399 +SRR25445902 10492 9411 45.0 SRR25445905 0.999990 c1 c1 c1 c1 0.999911 0.999349 0.998387 0.996944 +SRR36885917 21936 13523 4.0 SRR5169049 0.991877 c25 c16 c14 c9 +SRR8244571 13679 9432 39.0 SRR10569338 0.998168 c26 c17 c15 c2 0.998090 +SRR25445905 11376 9420 44.0 SRR25445902 0.999990 c1 c1 c1 c1 0.999911 0.999349 0.998387 0.996944 +SRR31400208 10841 9396 47.0 SRR31400205 1.000000 c1 c1 c1 c1 0.999911 0.999349 0.998387 0.996944 +DRR351134 20821 12159 4.0 SRR5169045 0.996711 c27 c18 c16 c10 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/lasallia_pustulata.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/lasallia_pustulata.clones.tsv new file mode 100644 index 00000000..8a34ac4a --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/lasallia_pustulata.clones.tsv @@ -0,0 +1,13 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR2387885 93574 53901 3.0 SRR14573781 0.979336 c1 c1 c1 c1 +ERR12324331 28038 18191 3.0 SRR14573778 0.989622 c2 c2 c2 c2 +ERR12324334 47495 22025 2.0 SRR14573778 0.986473 c3 c3 c3 c3 +ERR12324329 29104 16650 3.0 SRR14573779 0.986550 c4 c4 c4 c4 +ERR12324335 48262 23572 2.0 SRR14573778 0.986715 c5 c5 c5 c5 +SRR14573778 42317 29971 4.0 SRR14573780 0.990708 c6 c6 c6 c6 +SRR14573780 60661 34245 3.0 SRR14573778 0.990708 c7 c7 c7 c7 +SRR14573779 45835 29857 4.0 ERR12324329 0.986550 c8 c8 c8 c8 +SRR14573781 63590 34749 3.0 ERR12324333 0.983918 c9 c9 c9 c9 +ERR12324333 49758 23046 2.0 SRR14573781 0.983918 c10 c10 c10 c10 +ERR12324330 27659 16981 3.0 SRR14573778 0.987844 c11 c11 c11 c11 +ERR12324337 43342 24094 3.0 SRR14573778 0.989286 c12 c12 c12 c12 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/lasiodiplodia_theobromae.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/lasiodiplodia_theobromae.clones.tsv new file mode 100644 index 00000000..14e0118a --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/lasiodiplodia_theobromae.clones.tsv @@ -0,0 +1,10 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR16940157 43272 42248 11.0 SRR32638100 0.951029 c1 c1 c1 c1 +SRR16940162 43937 42866 11.0 SRR32638100 0.990179 c2 c2 c2 c2 +SRR16940160 43614 42906 11.0 SRR32638100 0.990219 c3 c3 c3 c3 +SRR32638100 43576 42834 11.0 SRR16940160 0.990219 c4 c4 c4 c4 +ERR15758215 40901 36409 5.0 SRR16940162 0.989451 c5 c5 c5 c5 +SRR16940127 48365 42794 6.0 SRR16940160 0.988046 c6 c6 c6 c6 +SRR27798686 52891 44671 8.0 SRR32638100 0.989263 c7 c7 c7 c7 +SRR13695368 52903 43497 7.0 SRR16940162 0.989707 c8 c8 c8 c8 +SRR13388792 44180 43302 10.0 SRR32638100 0.989937 c9 c9 c9 c9 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/lodderomyces_elongisporus.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/lodderomyces_elongisporus.clones.tsv new file mode 100644 index 00000000..1d8c9af3 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/lodderomyces_elongisporus.clones.tsv @@ -0,0 +1,10 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR21897181 20380 17687 23.0 SRR21897175 0.999903 c2 c1 c1 c1 0.999850 0.999850 0.999850 +SRR24124249 21164 18243 17.0 SRR35653055 0.998179 c3 c3 c3 c2 0.998179 +SRR32145638 22169 17832 19.0 SRR32145639 0.999707 c4 c2 c2 c3 0.999707 0.999707 0.999707 +SRR21897169 18989 17396 27.0 SRR21897166 0.999891 c5 c1 c1 c1 0.999850 0.999850 0.999850 +SRR35653055 19197 18147 24.0 SRR24124249 0.998179 c6 c4 c4 c2 0.998179 +SRR21897175 20017 17666 22.0 SRR21897166 0.999912 c1 c1 c1 c1 0.999912 0.999850 0.999850 0.999850 +SRR21897166 19878 17589 22.0 SRR21897175 0.999912 c1 c1 c1 c1 0.999912 0.999850 0.999850 0.999850 +SRR32145639 22452 17635 19.0 SRR32145638 0.999707 c7 c2 c2 c3 0.999707 0.999707 0.999707 +SRR6659927 17748 16982 41.0 SRR32145638 0.979169 c8 c5 c5 c4 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/lodderomyces_metapsilosis.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/lodderomyces_metapsilosis.clones.tsv new file mode 100644 index 00000000..e94cb2fa --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/lodderomyces_metapsilosis.clones.tsv @@ -0,0 +1,38 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +ERR247399 16382 13130 4.0 ERR247403 0.994592 c5 c8 c7 c8 +ERR247404 18685 18036 14.0 ERR247394 0.998693 c6 c9 c8 c4 0.998693 +ERR247400 14997 12776 5.0 SRR13232794 0.995177 c7 c10 c9 c9 +SRR10335732 19274 18474 13.0 SRR10335733 0.999912 c1 c1 c1 c1 0.999912 0.999784 0.999249 0.998350 +ERR247403 18560 18207 14.0 SRR13232793 0.999577 c8 c3 c2 c2 0.999577 0.999075 0.997569 +SRR27195573 19869 17772 20.0 SRR16123800 0.999948 c2 c4 c4 c5 0.999948 0.999948 0.999948 0.999948 +SRR13232789 18345 17905 18.0 ERR247403 0.998231 c9 c11 c10 c2 0.997569 +SRR13232794 18578 18110 18.0 SRR16974336 0.999872 c10 c5 c2 c2 0.999872 0.999075 0.997569 +SRR15193270 18323 17555 14.0 SRR15193269 0.999851 c11 c2 c3 c3 0.999823 0.999823 0.997936 +SRR15193271 21819 21056 12.0 SRR13232794 0.972143 c12 c12 c11 c10 +SRR10335743 19374 18436 13.0 SRR10335732 0.999899 c13 c1 c1 c1 0.999784 0.999249 0.998350 +SRR10335721 19358 18413 13.0 SRR10335732 0.999875 c14 c1 c1 c1 0.999784 0.999249 0.998350 +SRR10335725 19398 18231 13.0 SRR10335732 0.999855 c15 c1 c1 c1 0.999784 0.999249 0.998350 +SRR15193267 18366 17710 14.0 SRR15193269 0.999864 c16 c2 c3 c3 0.999823 0.999823 0.997936 +SRR15193268 18467 17879 14.0 SRR15193267 0.998609 c17 c13 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0.999888 0.998887 0.998428 0.997104 +SRR27723410 21097 12915 46.0 SRR27723456 0.999948 c11 c1 c1 c1 0.999879 0.998887 0.998428 0.997104 +SRR17231023 13441 12850 21.0 SRR17231071 0.999967 c9 c1 c1 c1 0.999842 0.998887 0.998428 0.997104 +SRR31351032 15946 12767 29.0 SRR17522866 0.999953 c32 c1 c1 c1 0.999875 0.998887 0.998428 0.997104 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/macrophomina_phaseolina.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/macrophomina_phaseolina.clones.tsv new file mode 100644 index 00000000..9a5699bc --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/macrophomina_phaseolina.clones.tsv @@ -0,0 +1,16 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR29753872 47425 44487 9.0 SRR24101279 0.994624 c1 c1 c3 c3 +SRR7642312 48769 45516 7.0 SRR24101300 0.997921 c2 c2 c4 c4 +SRR24188529 48625 45934 8.0 SRR10728356 0.989117 c3 c3 c5 c5 +SRR7642314 46712 45881 9.0 SRR7642318 0.994760 c4 c4 c6 c6 +SRR24188687 46152 44349 9.0 SRR24101288 0.999377 c5 c5 c2 c2 0.999377 0.999377 +SRR7642318 46539 45354 9.0 SRR10728356 0.999219 c6 c6 c1 c1 0.999120 0.999120 +SRR10728356 50486 46965 16.0 SRR7642318 0.999219 c7 c7 c1 c1 0.999120 0.999120 +SRR6515388 52077 44891 6.0 SRR7642318 0.997732 c8 c8 c7 c7 +SRR24001669 53776 46385 14.0 SRR7642318 0.999178 c9 c9 c1 c1 0.999120 0.999120 +SRR24001672 53046 46720 15.0 SRR24101349 0.994801 c10 c10 c8 c8 +SRR24101349 49874 47584 8.0 SRR24001672 0.994801 c11 c11 c9 c9 +SRR24101288 46423 44680 9.0 SRR24188687 0.999377 c12 c12 c2 c2 0.999377 0.999377 +SRR24101300 47933 45934 8.0 SRR7642312 0.997921 c13 c13 c10 c10 +SRR24101279 46058 44303 9.0 SRR24101288 0.995721 c14 c14 c11 c11 +SRR3742685 45466 44589 10.0 SRR24188687 0.843032 c15 c15 c12 c12 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/macrophomina_pseudophaseolina.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/macrophomina_pseudophaseolina.clones.tsv new file mode 100644 index 00000000..56040ce1 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/macrophomina_pseudophaseolina.clones.tsv @@ -0,0 +1,9 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR28763099 49251 44969 14.0 SRR24188513 0.996174 c1 c1 c1 c1 +SRR24188511 50205 44816 7.0 SRR24188512 0.997533 c2 c2 c2 c2 +SRR24188341 47221 45263 9.0 SRR24188514 0.996030 c3 c3 c3 c3 +SRR24188512 50459 45323 8.0 SRR24188511 0.997533 c4 c4 c4 c4 +SRR24188591 51303 46409 7.0 SRR24188513 0.995148 c5 c5 c5 c5 +SRR24188599 45638 42229 8.0 SRR28763099 0.982675 c6 c6 c6 c6 +SRR24188514 45560 44063 10.0 SRR24188512 0.997336 c7 c7 c7 c7 +SRR24188513 47269 45179 8.0 SRR24188514 0.997057 c8 c8 c8 c8 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/macrophomina_tecta.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/macrophomina_tecta.clones.tsv new file mode 100644 index 00000000..fd9f2c75 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/macrophomina_tecta.clones.tsv @@ -0,0 +1,4 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR24188539 51842 46192 6.0 SRR24188542 0.998709 c1 c1 c1 c1 0.998608 +SRR24188542 51875 46304 7.0 SRR24188543 0.998825 c2 c2 c2 c1 0.998608 +SRR24188543 52115 46127 6.0 SRR24188542 0.998825 c3 c3 c3 c1 0.998608 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/metarhizium_anisopliae.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/metarhizium_anisopliae.clones.tsv new file mode 100644 index 00000000..331c77ee --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/metarhizium_anisopliae.clones.tsv @@ -0,0 +1,5 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR12224770 40555 39676 10.0 SRR21465411 0.992141 c1 c1 c1 c1 +SRR28787539 51367 45266 9.0 SRR29856235 0.984548 c2 c2 c2 c2 +SRR29856235 47517 42375 10.0 SRR28787539 0.984548 c3 c3 c3 c3 +SRR21465411 43620 38294 8.0 SRR12224770 0.992141 c4 c4 c4 c4 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/metarhizium_robertsii.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/metarhizium_robertsii.clones.tsv new file mode 100644 index 00000000..015fed75 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/metarhizium_robertsii.clones.tsv @@ -0,0 +1,25 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR21465370 40629 39833 10.0 SRR21465350 0.997442 c1 c3 c3 c2 +SRR21465409 41774 37416 9.0 SRR21465427 0.997737 c2 c4 c4 c3 +SRR21465420 38679 38135 12.0 SRR21465357 0.999885 c3 c2 c2 c1 0.999765 0.999765 0.998669 +SRR21465354 41686 40419 11.0 SRR21465366 0.998344 c4 c5 c5 c4 +SRR15665281 40218 39603 11.0 SRR29661711 0.990667 c5 c6 c6 c5 +SRR29661711 40903 40217 11.0 SRR15665281 0.990667 c6 c7 c7 c6 +SRR21465427 38503 37957 12.0 SRR21465357 0.999799 c7 c2 c2 c1 0.999765 0.999765 0.998669 +SRR21465361 38481 37853 12.0 SRR21465422 0.999884 c8 c1 c1 c1 0.999597 0.999597 0.998669 +SRR21465366 38519 37899 12.0 SRR21465361 0.999856 c9 c1 c1 c1 0.999597 0.999597 0.998669 +SRR21465355 40324 35159 8.0 SRR21465365 0.997447 c10 c8 c8 c7 +SRR21465374 44000 38522 8.0 SRR21465409 0.986079 c11 c9 c9 c8 +SRR21465403 43691 35796 6.0 SRR21465409 0.996718 c12 c10 c10 c9 +SRR21465358 45602 38024 8.0 SRR21465422 0.997327 c13 c11 c11 c10 +SRR21465362 39673 38035 12.0 SRR21465361 0.999762 c14 c1 c1 c1 0.999597 0.999597 0.998669 +SRR21465402 43912 35476 6.0 SRR21465409 0.996476 c15 c12 c12 c11 +SRR21465356 38722 37953 12.0 SRR21465366 0.999845 c16 c1 c1 c1 0.999597 0.999597 0.998669 +SRR21465372 40604 39927 11.0 SRR21465370 0.962287 c17 c13 c13 c12 +SRR21465357 38764 38145 12.0 SRR21465420 0.999885 c18 c2 c2 c1 0.999765 0.999765 0.998669 +SRR21465365 38434 37789 12.0 SRR21465361 0.999853 c19 c1 c1 c1 0.999597 0.999597 0.998669 +SRR21465391 38800 38149 12.0 SRR21465357 0.999884 c20 c2 c2 c1 0.999765 0.999765 0.998669 +SRR21465350 38452 37758 12.0 SRR21465365 0.999736 c21 c1 c1 c1 0.999597 0.999597 0.998669 +SRR21465369 38823 38155 12.0 SRR21465357 0.999868 c22 c2 c2 c1 0.999765 0.999765 0.998669 +SRR21465353 38530 37819 12.0 SRR21465361 0.999864 c23 c1 c1 c1 0.999597 0.999597 0.998669 +SRR21465422 38500 37879 12.0 SRR21465361 0.999884 c24 c1 c1 c1 0.999597 0.999597 0.998669 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/metschnikowia_pulcherrima.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/metschnikowia_pulcherrima.clones.tsv new file mode 100644 index 00000000..1a5172f9 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/metschnikowia_pulcherrima.clones.tsv @@ -0,0 +1,13 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR16988839 27785 20265 17.0 ERR16112600 0.996425 c1 c1 c1 c1 +ERR16112600 18656 18049 11.0 SRR16988839 0.996425 c2 c2 c2 c2 +ERR16112645 21845 21060 9.0 ERR16112600 0.975156 c3 c3 c3 c3 +ERR16112604 22426 20432 7.0 ERR16112639 0.974468 c4 c4 c4 c4 +ERR15234349 19059 16592 6.0 ERR15234389 0.975069 c5 c5 c5 c5 +ERR16112641 22157 21304 9.0 ERR16112643 0.974197 c6 c6 c6 c6 +ERR15234389 15481 14454 10.0 ERR15234349 0.975069 c7 c7 c7 c7 +ERR15234420 20298 19725 9.0 ERR16112657 0.678724 c8 c8 c8 c8 +ERR16112643 20968 20147 9.0 ERR16112641 0.974197 c9 c9 c9 c9 +ERR16112597 19825 17950 8.0 ERR16112604 0.973514 c10 c10 c10 c10 +ERR16112657 22274 21390 9.0 ERR16112639 0.974354 c11 c11 c11 c11 +ERR16112639 22219 21416 9.0 ERR16112604 0.974468 c12 c12 c12 c12 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/meyerozyma_caribbica.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/meyerozyma_caribbica.clones.tsv new file mode 100644 index 00000000..cf739b67 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/meyerozyma_caribbica.clones.tsv @@ -0,0 +1,7 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +ERR2067896 11196 10218 40.0 ERR2067898 0.999862 c1 c1 c1 c1 0.999862 0.999862 0.999862 +ERR2067898 11104 10195 42.0 ERR2067896 0.999862 c2 c1 c1 c1 0.999862 0.999862 0.999862 +ERR2067895 11685 10325 38.0 SRR19214073 0.995103 c3 c2 c2 c3 +ERR2067897 11244 10226 39.0 SRR25636126 0.998206 c4 c3 c3 c2 0.998206 +SRR25636126 11871 10234 51.0 ERR2067897 0.998206 c5 c4 c4 c2 0.998206 +SRR19214073 11119 10369 46.0 ERR2067895 0.995103 c6 c5 c5 c4 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/meyerozyma_guilliermondii.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/meyerozyma_guilliermondii.clones.tsv new file mode 100644 index 00000000..180f922d --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/meyerozyma_guilliermondii.clones.tsv @@ -0,0 +1,22 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR30848215 11715 10601 44.0 SRR12160588 0.997881 c5 c4 c4 c5 +SRR23500646 12486 10562 39.0 SRR23500738 0.999955 c2 c1 c1 c1 0.999955 0.999792 0.999138 0.997634 +SRR9853508 11565 10554 43.0 SRR12160586 0.999923 c1 c1 c1 c1 0.999921 0.999792 0.999138 0.997634 +SRR32032715 13180 10676 37.0 SRR12160588 0.998330 c6 c5 c5 c2 0.998330 +ERR4669791 11885 10398 16.0 SRR12160819 0.960052 c7 c6 c6 c6 +SRR12160586 11796 10562 41.0 SRR12160594 0.999971 c1 c1 c1 c1 0.999921 0.999792 0.999138 0.997634 +SRR12160600 12552 10683 36.0 SRR12160603 0.999940 c3 c2 c2 c3 0.999940 0.999940 0.999940 0.999940 +SRR12160820 11856 10391 39.0 SRR12160819 0.999938 c4 c3 c3 c4 0.999938 0.999938 0.999938 0.999938 +ERR2722036 12973 10528 37.0 SRR12160586 0.999252 c8 c7 c1 c1 0.999138 0.997634 +ERR9706993 13572 11786 14.0 SRR10815990 0.816647 c9 c8 c7 c7 +SRR12160588 11804 10607 42.0 SRR12160594 0.998423 c10 c9 c8 c2 0.998330 +SRR12160819 11547 10367 42.0 SRR12160820 0.999938 c4 c3 c3 c4 0.999938 0.999938 0.999938 0.999938 +SRR23500738 12882 10591 38.0 SRR23500646 0.999955 c2 c1 c1 c1 0.999955 0.999792 0.999138 0.997634 +SRR10815990 32783 24775 6.0 SRR23500738 0.979279 c11 c10 c9 c8 +SRR12160585 12195 10567 39.0 SRR12160586 0.998336 c12 c11 c10 c1 0.997634 +SRR12160594 12128 10560 40.0 SRR12160586 0.999971 c1 c1 c1 c1 0.999921 0.999792 0.999138 0.997634 +SRR12160603 11820 10664 42.0 SRR12160600 0.999940 c3 c2 c2 c3 0.999940 0.999940 0.999940 0.999940 +SRR12160818 11968 10532 41.0 SRR12160594 0.998587 c13 c12 c11 c1 0.997634 +SRR26023568 10773 10206 46.0 ERR4669791 0.893827 c14 c13 c12 c9 +SRR39340359 17369 10808 29.0 SRR23500738 0.998220 c15 c14 c13 c10 +SRR6659378 10866 10533 69.0 SRR12160818 0.998146 c16 c15 c14 c11 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/monilinia_fructicola.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/monilinia_fructicola.clones.tsv new file mode 100644 index 00000000..2bf4b3a3 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/monilinia_fructicola.clones.tsv @@ -0,0 +1,14 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR8599895 41684 38542 5.0 SRR19544742 0.996398 c1 c2 c2 c2 +SRR19544744 43154 42385 10.0 SRR19544740 0.997698 c2 c3 c3 c3 +SRR19544739 43344 42249 9.0 SRR19544760 0.997396 c3 c4 c4 c4 +SRR19544740 42714 42263 11.0 SRR19544744 0.997698 c4 c5 c5 c5 +SRR19544758 43241 42080 10.0 SRR19544743 0.997411 c5 c6 c6 c6 +SRR19544743 42866 42509 10.0 SRR19544757 0.997525 c6 c7 c7 c7 +SRR19544745 42762 42072 10.0 SRR19544757 0.997434 c7 c8 c8 c8 +SRR19544762 42524 42047 10.0 SRR19544757 0.997290 c8 c9 c9 c9 +SRR19544761 43916 42921 9.0 SRR19544757 0.999737 c9 c1 c1 c1 0.999714 0.999714 0.999714 +SRR19544742 43739 42602 9.0 SRR19544744 0.997623 c10 c10 c10 c10 +SRR19544750 44054 42973 9.0 SRR19544757 0.999761 c11 c1 c1 c1 0.999714 0.999714 0.999714 +SRR19544760 43641 42997 10.0 SRR19544757 0.997767 c12 c11 c11 c11 +SRR19544757 43609 43031 10.0 SRR19544750 0.999761 c13 c1 c1 c1 0.999714 0.999714 0.999714 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/morchella_eximia.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/morchella_eximia.clones.tsv new file mode 100644 index 00000000..d45549e5 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/morchella_eximia.clones.tsv @@ -0,0 +1,7 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR11908158 46232 43953 9.0 SRR5804157 0.989874 c1 c1 c1 c1 +SRR16686499 64828 53170 6.0 SRR11908158 0.984303 c2 c2 c2 c2 +SRR16686495 47224 44415 8.0 SRR16686498 0.997560 c3 c3 c3 c3 +SRR16686498 47600 43538 7.0 SRR16686495 0.997560 c4 c4 c4 c4 +SRR5804157 52433 41468 5.0 SRR11908158 0.989874 c5 c5 c5 c5 +SRR5804017 59643 46698 5.0 SRR11908158 0.950666 c6 c6 c6 c6 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/mucor_circinelloides.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/mucor_circinelloides.clones.tsv new file mode 100644 index 00000000..05649c6e --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/mucor_circinelloides.clones.tsv @@ -0,0 +1,20 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR33648462 36263 32081 18.0 SRR33648554 0.999019 c1 c3 c2 c1 0.999019 0.997449 +SRR974749 34465 29711 6.0 SRR9719146 0.988594 c2 c4 c4 c5 +SRR770025 32807 30108 6.0 ERR2211768 0.999199 c3 c5 c1 c2 0.999185 0.997852 +DRR032634 39226 34303 7.0 SRR12950045 0.996468 c4 c6 c5 c6 +SRR33648463 37341 32440 17.0 SRR33648523 0.998710 c5 c7 c6 c1 0.997449 +SRR33648554 36929 32284 19.0 SRR33648462 0.999019 c6 c8 c2 c1 0.999019 0.997449 +SRR8873499 32895 32238 12.0 SRR26359908 0.999752 c7 c1 c3 c3 0.999752 0.999752 0.999752 +SRR33648440 37173 32396 18.0 SRR33648520 0.998880 c8 c9 c7 c1 0.997449 +SRR33648523 37128 32332 18.0 SRR33648520 0.998722 c9 c10 c8 c1 0.997449 +ERR2211767 32375 31838 10.0 ERR2211768 0.999815 c10 c2 c1 c2 0.999815 0.999185 0.997852 +SRR33648520 37387 32398 18.0 SRR33648462 0.999013 c11 c11 c9 c1 0.997449 +ERR2211742 33804 31126 9.0 SRR33648463 0.997400 c12 c12 c10 c7 +ERR2211768 32422 31846 10.0 ERR2211767 0.999815 c13 c2 c1 c2 0.999815 0.999185 0.997852 +SRR7686312 31551 30157 7.0 SRR26360069 0.998953 c14 c13 c11 c4 0.998953 +SRR12950045 32570 32002 12.0 ERR2211768 0.998420 c15 c14 c12 c2 0.997852 +SRR10127301 32893 32366 12.0 SRR12950045 0.994757 c16 c15 c13 c8 +SRR26360069 32745 32033 11.0 SRR7686312 0.998953 c17 c16 c14 c4 0.998953 +SRR9719146 47170 44431 7.0 SRR12950045 0.990169 c18 c17 c15 c9 +SRR26359908 32763 32214 12.0 SRR8873499 0.999752 c19 c1 c3 c3 0.999752 0.999752 0.999752 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/neofusicoccum_parvum.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/neofusicoccum_parvum.clones.tsv new file mode 100644 index 00000000..2fda4ec4 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/neofusicoccum_parvum.clones.tsv @@ -0,0 +1,18 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR17715974 42885 42141 10.0 SRR3500598 0.995908 c1 c2 c3 c3 +SRR17715973 44003 43090 11.0 SRR16940182 0.995193 c2 c3 c4 c4 +SRR31637804 42943 42274 10.0 SRR31637761 0.998115 c3 c4 c5 c1 0.998016 +SRR31637789 43324 42659 10.0 SRR31637761 0.999003 c4 c5 c1 c1 0.999003 0.998016 +SRR3500598 43651 42196 10.0 SRR17715974 0.995908 c5 c6 c6 c5 +SRR16940182 44915 43067 10.0 SRR17715973 0.995193 c6 c7 c7 c6 +SRR16940170 46655 39869 5.0 SRR16940182 0.989870 c7 c8 c8 c7 +SRR31637796 43427 42674 10.0 SRR31637761 0.997535 c8 c9 c9 c8 +SRR31637761 42954 42366 10.0 SRR31637789 0.999003 c9 c10 c1 c1 0.999003 0.998016 +SRR28106365 43189 42376 11.0 SRR28106366 0.999761 c10 c1 c2 c2 0.999761 0.999761 0.999761 +SRR28106366 42938 42134 11.0 SRR28106365 0.999761 c11 c1 c2 c2 0.999761 0.999761 0.999761 +DRR452882 43147 42345 10.0 DRR452881 0.988325 c12 c11 c10 c9 +DRR452881 43259 42121 9.0 SRR3500598 0.991447 c13 c12 c11 c10 +SRR37154756 48621 47641 9.0 SRR17715974 0.985725 c14 c13 c12 c11 +SRR28100531 42935 42057 11.0 SRR28106366 0.988743 c15 c14 c13 c12 +SRR13695378 66736 48651 4.0 SRR37154756 0.956927 c16 c15 c14 c13 +SRR28099238 43067 42237 10.0 SRR28106366 0.994042 c17 c16 c15 c14 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/neonectria_ditissima.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/neonectria_ditissima.clones.tsv new file mode 100644 index 00000000..155944aa --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/neonectria_ditissima.clones.tsv @@ -0,0 +1,34 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR2154279 47689 42368 15.0 SRR18713699 0.995788 c1 c2 c2 c3 +SRR18713713 44498 41550 18.0 SRR18713702 0.994928 c2 c3 c3 c4 +SRR18713702 44523 41198 17.0 SRR18713713 0.994928 c3 c4 c4 c5 +SRR18713703 47511 42064 18.0 SRR18713699 0.996033 c4 c5 c5 c6 +SRR18713696 51808 42064 14.0 SRR18713695 0.999727 c5 c1 c1 c1 0.999727 0.999727 0.999727 +ERR13437963 40526 35873 5.0 SRR18713713 0.993067 c6 c6 c6 c7 +ERR13437964 40363 35673 5.0 SRR18713694 0.997670 c7 c7 c7 c8 +ERR13437965 39952 35086 5.0 SRR18713714 0.998041 c8 c8 c8 c2 0.998041 +SRR18713687 46089 42428 19.0 SRR18713707 0.995837 c9 c9 c9 c9 +SRR18713695 48581 41598 19.0 SRR18713696 0.999727 c10 c1 c1 c1 0.999727 0.999727 0.999727 +SRR18713706 47549 41656 19.0 SRR18713709 0.997241 c11 c10 c10 c10 +SRR18713690 48946 43078 16.0 SRR18713699 0.995687 c12 c11 c11 c11 +SRR18713714 45651 42379 16.0 ERR13437965 0.998041 c13 c12 c12 c2 0.998041 +SRR18713707 48184 42501 18.0 SRR18713699 0.995911 c14 c13 c13 c12 +SRR18713697 45527 42231 18.0 SRR18713686 0.995755 c15 c14 c14 c13 +SRR18713694 52839 42361 13.0 ERR13437964 0.997670 c16 c15 c15 c14 +SRR18713700 48042 42212 17.0 SRR18713703 0.995901 c17 c16 c16 c15 +SRR18713686 47780 41312 19.0 SRR18713710 0.996060 c18 c17 c17 c16 +SRR18713709 47130 41500 20.0 SRR18713705 0.997286 c19 c18 c18 c17 +SRR18713705 48359 41621 19.0 SRR18713709 0.997286 c20 c19 c19 c18 +SRR18713688 45917 42163 19.0 SRR18713686 0.995776 c21 c20 c20 c19 +SRR18713698 45021 41971 20.0 SRR18713686 0.995847 c22 c21 c21 c20 +SRR18713701 45634 42413 19.0 SRR18713703 0.995864 c23 c22 c22 c21 +SRR18713693 51658 41616 14.0 SRR18713694 0.995982 c24 c23 c23 c22 +SRR18713692 45540 42574 17.0 SRR18713705 0.990574 c25 c24 c24 c23 +SRR18713712 48353 41927 18.0 SRR18713710 0.996107 c26 c25 c25 c24 +SRR18713710 48240 41813 19.0 SRR18713712 0.996107 c27 c26 c26 c25 +SRR5227890 45324 42051 20.0 SRR18713686 0.995962 c28 c27 c27 c26 +SRR18713711 45328 42460 15.0 SRR18713710 0.995731 c29 c28 c28 c27 +SRR18713699 48686 42204 17.0 SRR18713703 0.996033 c30 c29 c29 c28 +SRR18713704 51067 42368 13.0 SRR5227890 0.995719 c31 c30 c30 c29 +SRR18713689 52445 44399 12.0 SRR2154279 0.994954 c32 c31 c31 c30 +SRR18713691 51211 42557 13.0 SRR18713686 0.995849 c33 c32 c32 c31 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/neurospora_cerealis.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_cerealis.clones.tsv new file mode 100644 index 00000000..88ea6278 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_cerealis.clones.tsv @@ -0,0 +1,15 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR7766685 38915 38566 11.0 SRR7766680 0.999952 c1 c1 c1 c1 0.999928 0.999513 0.999414 0.999414 +SRR7766596 40861 38640 10.0 SRR7766664 0.998606 c2 c2 c3 c2 0.998406 +SRR7766585 39014 38580 12.0 SRR7766685 0.999947 c1 c1 c1 c1 0.999928 0.999513 0.999414 0.999414 +SRR7766588 40906 38488 10.0 SRR7766593 0.999447 c3 c3 c1 c1 0.999414 0.999414 +SRR7766682 39124 38596 11.0 SRR7766685 0.999937 c1 c1 c1 c1 0.999928 0.999513 0.999414 0.999414 +SRR7766593 39175 38602 12.0 SRR7766685 0.999941 c1 c1 c1 c1 0.999928 0.999513 0.999414 0.999414 +SRR7766630 41795 38993 10.0 SRR7766596 0.997288 c4 c4 c4 c3 +SRR7766591 41120 38444 11.0 SRR7766680 0.999470 c5 c5 c1 c1 0.999414 0.999414 +SRR7766592 40944 38828 10.0 SRR7766593 0.999685 c6 c1 c1 c1 0.999513 0.999414 0.999414 +SRR7766689 40896 38528 10.0 SRR7766585 0.999531 c7 c1 c1 c1 0.999513 0.999414 0.999414 +SRR7766664 40719 38717 10.0 SRR7766693 0.998810 c8 c6 c5 c2 0.998406 +SRR7766693 40963 38609 10.0 SRR7766690 0.999358 c9 c7 c2 c2 0.999358 0.998406 +SRR7766680 39131 38593 12.0 SRR7766685 0.999952 c1 c1 c1 c1 0.999928 0.999513 0.999414 0.999414 +SRR7766690 40924 38296 10.0 SRR7766693 0.999358 c10 c8 c2 c2 0.999358 0.998406 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/neurospora_crassa.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_crassa.clones.tsv new file mode 100644 index 00000000..96a86f94 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_crassa.clones.tsv @@ -0,0 +1,695 @@ +run hashes 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37219 6.0 SRR4186217 0.994994 c693 c687 c623 c440 +SRR4183572 39352 36659 6.0 SRR4184926 0.994613 c694 c688 c624 c441 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/neurospora_discreta.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_discreta.clones.tsv new file mode 100644 index 00000000..753d509e --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_discreta.clones.tsv @@ -0,0 +1,214 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR2513295 35261 32129 6.0 SRR2513305 0.998424 c1 c1 c7 c7 0.998424 +SRR7759406 35058 33017 6.0 SRR7759409 0.998761 c2 c2 c8 c5 0.998136 +SRR2513302 36367 34184 7.0 SRR7759407 0.998660 c3 c3 c9 c2 0.997835 +SRR2513260 36439 34976 7.0 SRR7759412 0.998358 c4 c4 c10 c8 0.998358 +SRR7759400 38491 28963 5.0 SRR7759395 0.997046 c5 c5 c11 c18 +SRR7759402 32449 26811 4.0 SRR7759394 0.996120 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0.998953 0.997853 +SRR7054118 36016 34228 6.0 SRR7054459 0.998873 c96 c96 c92 c1 0.997853 +SRR7054117 36173 34612 7.0 SRR7054454 0.997454 c97 c97 c93 c83 +SRR7054114 36106 34349 7.0 SRR7054459 0.998908 c98 c98 c94 c1 0.997853 +SRR7054130 36127 34706 7.0 SRR7054120 0.999084 c99 c99 c1 c1 0.998953 0.997853 +SRR7054125 36165 34706 7.0 SRR7054115 0.998988 c100 c100 c95 c1 0.997853 +SRR7054126 36075 34356 7.0 SRR7054459 0.999042 c101 c101 c5 c1 0.999042 0.997853 +SRR7054128 36171 34156 6.0 SRR7053867 0.997290 c102 c102 c96 c84 +SRR7054435 36355 35162 7.0 SRR7054442 0.999218 c103 c103 c6 c14 0.999218 0.999218 +SRR7054436 36071 34589 7.0 SRR7053771 0.997559 c104 c104 c97 c85 +SRR7054437 36330 35043 7.0 SRR7054453 0.997894 c105 c105 c98 c86 +SRR7054441 36143 33929 6.0 SRR7054439 0.997147 c106 c106 c99 c87 +SRR7054438 36004 34875 7.0 SRR7054459 0.997774 c107 c107 c100 c88 +SRR7054439 36463 35571 7.0 SRR7054448 0.997550 c108 c108 c101 c89 +SRR7054442 36211 34595 7.0 SRR7054435 0.999218 c109 c109 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0.998794 +ERR14939273 30569 23892 4.0 SRR7759399 0.994817 c138 c138 c130 c107 +SRR2513274 36612 34557 7.0 SRR2513277 0.995769 c139 c139 c131 c108 +SRR7766658 45538 41628 8.0 SRR7766650 0.998535 c140 c140 c132 c3 0.998323 +ERR14939225 30635 24009 4.0 SRR7759395 0.995637 c141 c141 c133 c109 +SRR2513278 36742 34538 6.0 SRR2513272 0.996043 c142 c142 c134 c110 +SRR7766650 45628 41907 8.0 SRR7766658 0.998535 c143 c143 c135 c3 0.998323 +ERR14939242 30868 23513 4.0 SRR7054109 0.994706 c144 c144 c136 c111 +SRR2513277 36455 34516 7.0 SRR2513276 0.995869 c145 c145 c137 c112 +SRR7759396 36177 34615 7.0 SRR7759397 0.996949 c146 c146 c138 c113 +ERR14939226 31011 24711 4.0 SRR7759398 0.994092 c147 c147 c139 c114 +SRR2513273 37330 34454 6.0 SRR2513277 0.984550 c148 c148 c140 c115 +SRR7759410 38876 36945 11.0 SRR7759407 0.998598 c149 c149 c141 c2 0.997835 +ERR14939223 31075 24854 4.0 SRR7759403 0.994962 c150 c150 c142 c116 +SRR2513271 36533 33643 6.0 SRR2513276 0.995590 c151 c151 c143 c117 +SRR7766651 45984 41404 8.0 SRR7766650 0.998411 c152 c152 c144 c3 0.998323 +ERR14939235 31232 25322 4.0 SRR7759399 0.995706 c153 c153 c145 c118 +SRR2513300 37436 33465 6.0 SRR7759410 0.997421 c154 c154 c146 c119 +SRR7759409 36334 33978 7.0 SRR7759406 0.998761 c155 c155 c147 c5 0.998136 +ERR14939274 31107 24384 4.0 SRR7054120 0.994973 c156 c156 c148 c120 +SRR2513276 36754 34942 7.0 SRR2513261 0.995936 c157 c157 c149 c121 +SRR7766652 40405 27843 4.0 SRR7766643 0.991213 c158 c158 c150 c122 +ERR14939276 30605 23555 4.0 SRR7054115 0.994457 c159 c159 c151 c123 +SRR2513303 34022 29784 6.0 SRR2513294 0.994979 c160 c160 c152 c124 +SRR7766649 40523 26674 4.0 SRR7766658 0.990328 c161 c161 c153 c125 +ERR14939236 28255 20493 3.0 SRR7054109 0.992349 c162 c162 c154 c126 +SRR2513309 19935 13335 3.0 SRR2513280 0.984441 c163 c163 c155 c127 +SRR7766655 40257 27107 4.0 SRR7766658 0.990337 c164 c164 c156 c128 +ERR14939249 30995 24307 4.0 SRR7054115 0.994885 c165 c165 c157 c129 +SRR2513298 10063 5965 3.0 SRR2513284 0.985836 c166 c166 c158 c130 +ERR14939244 31301 24760 4.0 SRR7759413 0.995221 c167 c167 c159 c131 +SRR2513301 17941 10472 3.0 SRR2513291 0.979399 c168 c168 c160 c132 +ERR14939245 30801 23725 4.0 SRR7054109 0.994687 c169 c169 c161 c133 +SRR2513288 36102 33414 6.0 SRR2513285 0.998577 c170 c170 c162 c6 0.997891 +ERR14939229 30777 24110 4.0 SRR7759396 0.993441 c171 c171 c163 c134 +SRR2513307 35443 33291 7.0 SRR2513285 0.998077 c172 c172 c164 c17 0.998069 +ERR14939255 31182 24858 4.0 SRR7759399 0.995287 c173 c173 c165 c135 +SRR2513304 35456 33038 7.0 SRR2513306 0.998879 c174 c174 c166 c4 0.998040 +ERR14939254 30777 23405 4.0 SRR7054120 0.994548 c175 c175 c167 c136 +SRR2513310 36172 33078 6.0 SRR7054109 0.997808 c176 c176 c168 c137 +ERR14939239 30839 23756 4.0 SRR7759413 0.994650 c177 c177 c169 c138 +SRR2513306 35762 33732 7.0 SRR2513304 0.998879 c178 c178 c170 c4 0.998040 +SRR2513275 36834 34689 6.0 SRR2513261 0.995870 c179 c179 c171 c139 +ERR14939232 30756 24556 4.0 SRR7759399 0.995408 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c150 +SRR2513263 36155 34404 7.0 SRR2513260 0.996745 c195 c195 c187 c151 +ERR14939259 30922 22448 3.0 ERR14939260 0.990237 c196 c196 c188 c152 +SRR2513265 35898 33452 6.0 SRR7054458 0.997965 c197 c197 c189 c153 +ERR14939233 30779 24534 4.0 SRR7759395 0.993777 c198 c198 c190 c154 +SRR2513264 36171 34388 7.0 SRR7759403 0.998544 c199 c199 c191 c15 0.998544 +ERR14939247 30672 24140 4.0 SRR7759399 0.994837 c200 c200 c192 c155 +SRR2513268 31242 25739 5.0 SRR2513279 0.995505 c201 c201 c193 c156 +SRR2513267 36564 34243 6.0 SRR7759404 0.998180 c202 c202 c194 c2 0.997835 +ERR14939237 28828 21179 3.0 SRR7054109 0.992944 c203 c203 c195 c157 +SRR2513259 36245 34317 7.0 SRR7054120 0.998295 c204 c204 c196 c1 0.997853 +ERR14939268 30412 22936 4.0 SRR7054120 0.993938 c205 c205 c197 c158 +SRR2513281 33060 28594 6.0 SRR7759396 0.994487 c206 c206 c198 c159 +ERR14939267 30398 24072 4.0 SRR7759399 0.995210 c207 c207 c199 c160 +ERR14939246 30480 23656 4.0 SRR7759413 0.994560 c208 c208 c200 c161 +ERR14939278 30264 24523 4.0 SRR7759399 0.995419 c209 c209 c201 c162 +ERR14939224 30699 24298 4.0 SRR7759395 0.995830 c210 c210 c202 c163 +ERR14939260 31289 24175 4.0 ERR14939258 0.991366 c211 c211 c203 c164 +ERR14939277 30433 24316 4.0 SRR2513285 0.995335 c212 c212 c204 c165 +ERR14939262 31197 23992 4.0 SRR7759396 0.993350 c213 c213 c205 c166 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/neurospora_intermedia.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_intermedia.clones.tsv new file mode 100644 index 00000000..9225ca77 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_intermedia.clones.tsv @@ -0,0 +1,22 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR7701024 10847 9353 10.0 SRR7701025 0.954493 c1 c1 c1 c1 +SRR7701046 11203 9415 16.0 SRR7701045 0.959639 c2 c2 c2 c2 +SRR7701025 10307 8099 6.0 SRR7701024 0.954493 c3 c3 c3 c3 +SRR7700976 10229 8598 7.0 SRR7700977 0.952437 c4 c4 c4 c4 +SRR7701032 10180 8566 16.0 SRR7701028 0.981965 c5 c5 c5 c5 +SRR7701044 9652 7918 21.0 SRR7701049 0.946202 c6 c6 c6 c6 +SRR7701023 8424 6902 26.0 SRR7700978 0.963542 c7 c7 c7 c7 +SRR7700977 10396 8777 7.0 SRR7700976 0.952437 c8 c8 c8 c8 +SRR7701027 10586 9294 12.0 SRR7701030 0.955704 c9 c9 c9 c9 +SRR7701030 10619 9123 9.0 SRR7701028 0.980630 c10 c10 c10 c10 +SRR7701031 10269 8910 10.0 SRR7701028 0.968934 c11 c11 c11 c11 +SRR7701028 11114 9578 10.0 SRR7701032 0.981965 c12 c12 c12 c12 +SRR7701051 10605 9238 10.0 SRR7701031 0.967560 c13 c13 c13 c13 +SRR7701049 10747 8910 22.0 SRR7701044 0.946202 c14 c14 c14 c14 +SRR7701043 11596 9277 17.0 SRR7701051 0.947923 c15 c15 c15 c15 +SRR7701026 9140 7418 12.0 SRR7701047 0.972053 c16 c16 c16 c16 +SRR7701050 8857 7245 20.0 SRR7701026 0.954742 c17 c17 c17 c17 +SRR7701045 11713 9194 17.0 SRR7701046 0.959639 c18 c18 c18 c18 +SRR7700978 9785 8170 34.0 SRR7701023 0.963542 c19 c19 c19 c19 +SRR7701048 9098 7356 6.0 SRR7701043 0.929927 c20 c20 c20 c20 +SRR7701047 7358 5921 22.0 SRR7701026 0.972053 c21 c21 c21 c21 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/neurospora_tetraspora.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_tetraspora.clones.tsv new file mode 100644 index 00000000..791b7b96 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/neurospora_tetraspora.clones.tsv @@ -0,0 +1,9 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR7766704 44853 41945 9.0 SRR7766677 0.998095 c1 c1 c1 c1 0.998095 +SRR7766674 43888 41339 10.0 SRR7766671 0.997893 c2 c2 c2 c2 +SRR7766589 42483 42013 10.0 SRR7766616 0.997945 c3 c3 c3 c3 +SRR7766616 43361 41304 10.0 SRR7766589 0.997945 c4 c4 c4 c4 +SRR7766703 43955 41298 9.0 SRR7766674 0.997716 c5 c5 c5 c5 +SRR7766671 44354 41528 9.0 SRR7766674 0.997893 c6 c6 c6 c6 +SRR7766677 44317 41844 9.0 SRR7766704 0.998095 c7 c7 c7 c1 0.998095 +SRR7766654 44557 41655 9.0 SRR7766677 0.997876 c8 c8 c8 c7 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/ogataea_haglerorum.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/ogataea_haglerorum.clones.tsv new file mode 100644 index 00000000..bdd38c97 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/ogataea_haglerorum.clones.tsv @@ -0,0 +1,24 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR13943486 9910 9072 53.0 SRR13943474 0.998680 c4 c4 c5 c1 0.997842 +SRR13943492 9651 9049 54.0 SRR13943493 0.999989 c1 c1 c2 c1 0.999989 0.999989 0.999989 0.997842 +SRR13943493 9930 9055 52.0 SRR13943492 0.999989 c1 c1 c2 c1 0.999989 0.999989 0.999989 0.997842 +SRR13943475 9887 9077 53.0 SRR13943482 0.998970 c5 c5 c6 c1 0.997842 +SRR16988788 13046 10549 7.0 SRR13943474 0.991938 c6 c6 c7 c3 +SRR13943480 9834 9062 53.0 SRR13943478 0.998649 c7 c7 c8 c1 0.997842 +SRR13943477 9850 9058 52.0 SRR13943476 1.000000 c2 c2 c1 c1 1.000000 1.000000 0.999071 0.997842 +SRR13943489 9894 9045 52.0 SRR13943491 0.999997 c3 c3 c3 c1 0.999997 0.999997 0.999997 0.997842 +SRR13943491 10529 8888 54.0 SRR13943489 0.999997 c3 c3 c3 c1 0.999997 0.999997 0.999997 0.997842 +SRR13943481 9771 9070 53.0 SRR13943482 0.999020 c8 c8 c4 c1 0.999020 0.997842 +SRR13943482 10015 9040 52.0 SRR13943481 0.999020 c9 c9 c4 c1 0.999020 0.997842 +SRR13943474 9992 9058 52.0 SRR13943481 0.998901 c10 c10 c9 c1 0.997842 +SRR13943494 9707 8999 54.0 SRR13943495 0.997883 c11 c11 c10 c4 +SRR13943485 10101 9074 51.0 SRR13943484 0.998297 c12 c12 c11 c2 0.998297 +SRR13943472 10299 8846 48.0 SRR13943491 0.998012 c13 c13 c12 c5 +SRR13943473 10167 9021 39.0 SRR13943481 0.998753 c14 c14 c13 c1 0.997842 +SRR13943484 9889 9041 52.0 SRR13943485 0.998297 c15 c15 c14 c2 0.998297 +SRR13943476 9795 9057 54.0 SRR13943477 1.000000 c2 c2 c1 c1 1.000000 1.000000 0.999071 0.997842 +SRR13943478 9892 9015 53.0 SRR13943480 0.998649 c16 c16 c15 c1 0.997842 +SRR13943495 9942 9055 53.0 SRR13943472 0.997998 c17 c17 c16 c6 +SRR13943487 9893 9059 52.0 SRR13943475 0.998960 c18 c18 c17 c1 0.997842 +SRR13943488 9884 9060 53.0 SRR13943477 0.999072 c19 c19 c1 c1 0.999071 0.997842 +SRR13943483 9802 9055 53.0 SRR13943474 0.998438 c20 c20 c18 c1 0.997842 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/ogataea_polymorpha.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/ogataea_polymorpha.clones.tsv new file mode 100644 index 00000000..96c4bf95 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/ogataea_polymorpha.clones.tsv @@ -0,0 +1,17 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR16989143 16364 9122 48.0 SRR13943464 0.999613 c3 c1 c1 c1 0.999608 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SRR13943490 0.996924 c13 c12 c12 c12 +SRR13943465 10166 8933 52.0 SRR3926513 0.997532 c14 c13 c13 c13 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/ophidiomyces_ophidiicola.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/ophidiomyces_ophidiicola.clones.tsv new file mode 100644 index 00000000..93d7539a --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/ophidiomyces_ophidiicola.clones.tsv @@ -0,0 +1,53 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR17214510 21521 20878 15.0 SRR17214554 0.999752 c4 c4 c4 c1 0.999752 0.999752 0.998213 +SRR17214566 21180 20769 17.0 SRR17214500 0.998186 c5 c7 c7 c6 0.998161 +SRR17214519 21721 21012 15.0 SRR17214520 0.999783 c6 c5 c5 c2 0.999783 0.999783 0.997449 +SRR17214491 21523 20882 15.0 SRR17214502 0.998714 c7 c8 c8 c3 0.997706 +SRR21462232 21581 20754 21.0 SRR17214500 0.998416 c8 c9 c9 c6 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c372 c358 +SRR24918553 17787 16658 12.0 SRR24918542 0.997547 c380 c377 c373 c359 +SRR24918546 18040 14816 14.0 SRR24918545 0.995759 c381 c378 c374 c360 +SRR24918534 17911 15410 15.0 SRR24918612 0.996122 c382 c379 c375 c361 +SRR24918612 17524 15452 16.0 SRR24918534 0.996122 c383 c380 c376 c362 +SRR24918500 18100 17140 12.0 SRR24918572 0.994260 c384 c381 c377 c363 +SRR24907185 34829 32240 6.0 SRR24907167 0.996349 c385 c382 c378 c364 +SRR24907181 34757 32022 6.0 SRR24907167 0.998317 c386 c383 c379 c7 0.998182 +SRR24918445 17951 16785 11.0 SRR24918553 0.994318 c387 c384 c380 c365 +SRR24918605 18274 17030 12.0 SRR24918478 0.993644 c388 c385 c381 c366 +SRR24918538 18065 15787 15.0 SRR24918612 0.994253 c389 c386 c382 c367 +SRR24907172 35178 31453 5.0 SRR24907184 0.996523 c390 c387 c383 c368 +SRR24918494 18298 16898 13.0 SRR24918491 0.991513 c391 c388 c384 c369 +SRR24907176 35877 31897 5.0 SRR24907175 0.997870 c392 c389 c385 c370 +SRR24918481 18645 17506 12.0 SRR24918605 0.993033 c393 c390 c386 c371 +SRR24918606 20918 18098 11.0 SRR24918494 0.989633 c394 c391 c387 c372 +SRR24907167 35030 32130 6.0 SRR24907181 0.998317 c395 c392 c388 c7 0.998182 +SRR24918486 18263 16964 13.0 SRR24918492 0.991207 c396 c393 c389 c373 +SRR24907180 34898 31779 6.0 SRR24907182 0.998196 c397 c394 c390 c8 0.998196 +SRR24918471 18399 15822 14.0 SRR24918472 0.995756 c398 c395 c391 c374 +SRR24918545 19724 16514 13.0 SRR24918541 0.998204 c399 c396 c392 c18 0.998204 +SRR24918541 19560 16414 13.0 SRR24918545 0.998204 c400 c397 c393 c18 0.998204 +SRR24918501 21314 19774 9.0 SRR24918483 0.990906 c401 c398 c394 c375 +SRR24918472 20382 17829 12.0 SRR24918471 0.995756 c402 c399 c395 c376 +SRR24918537 22183 18721 11.0 SRR24918539 0.995463 c403 c400 c396 c377 +SRR24918539 21573 18612 12.0 SRR24918537 0.995463 c404 c401 c397 c378 +SRR24918561 22744 21692 10.0 SRR24918618 0.989466 c405 c402 c398 c379 +SRR41080587 36899 36318 10.0 SRR41080558 0.997251 c406 c403 c399 c380 +SRR41080586 36889 36428 11.0 SRR41080587 0.997178 c407 c404 c400 c381 +SRR41080558 36897 36357 10.0 SRR41080587 0.997251 c408 c405 c401 c382 +SRR41080585 36710 36257 10.0 SRR41080587 0.997117 c409 c406 c402 c383 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/pyricularia_grisea.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/pyricularia_grisea.clones.tsv new file mode 100644 index 00000000..06902a28 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/pyricularia_grisea.clones.tsv @@ -0,0 +1,13 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR11836444 41354 39758 8.0 SRR11836443 0.996236 c1 c1 c1 c1 +ERR9866258 38904 34988 5.0 ERR9883755 0.996203 c2 c2 c2 c2 +SRR11836443 41647 40555 8.0 SRR28701263 0.997147 c3 c3 c3 c3 +SRR12101026 39946 38156 6.0 SRR28051826 0.902714 c4 c4 c4 c4 +SRR12101016 40799 38986 6.0 SRR28701263 0.992725 c5 c5 c5 c5 +SRR8573216 41400 37033 5.0 SRR28701263 0.891322 c6 c6 c6 c6 +SRR28701263 42067 40082 11.0 SRR11836443 0.997147 c7 c7 c7 c7 +SRR28051826 41135 39655 11.0 SRR12101026 0.902714 c8 c8 c8 c8 +ERR747963 26714 16590 3.0 SRR28701263 0.985480 c9 c9 c9 c9 +ERR9883755 38964 35394 5.0 ERR9866258 0.996203 c10 c10 c10 c10 +ERR2653652 13443 6724 3.0 SRR28701263 0.967731 c11 c11 c11 c11 +SRR8278077 74541 49401 6.0 SRR11836443 0.993679 c12 c12 c12 c12 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/pyricularia_oryzae.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/pyricularia_oryzae.clones.tsv new file mode 100644 index 00000000..003f8666 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/pyricularia_oryzae.clones.tsv @@ -0,0 +1,629 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR18092170 36909 34386 7.0 SRR6669189 0.998387 c6 c25 c35 c16 0.997943 +SRR6669169 39564 38549 10.0 SRR6669166 0.999284 c7 c26 c6 c3 0.998907 0.997674 +SRR23388381 47974 45388 9.0 SRR27918216 0.992294 c8 c27 c36 c41 +SRR18092176 34457 30933 7.0 SRR18092189 0.997297 c9 c28 c37 c42 +SRR32491103 41661 39122 9.0 SRR32384812 0.998562 c10 c29 c38 c18 0.998472 +SRR18092276 34531 30169 6.0 SRR18092275 0.997197 c11 c30 c39 c43 +SRR12102168 39825 37995 6.0 SRR9993988 0.997297 c12 c31 c40 c44 +ERR4757129 42386 37825 7.0 ERR4757127 0.997919 c13 c32 c41 c45 +SRR18092287 35912 32544 6.0 SRR24675066 0.996890 c14 c33 c42 c46 +SRR6669143 39777 38873 10.0 SRR6669167 0.999402 c15 c34 c2 c2 0.998730 0.997461 +SRR40320342 44508 42163 10.0 SRR40320353 0.999081 c16 c35 c7 c7 0.998932 0.998304 +SRR11836445 39218 36645 6.0 SRR11836446 0.996541 c17 c36 c43 c47 +SRR33681162 42575 41486 10.0 SRR40320356 0.998274 c18 c37 c44 c6 0.997677 +ERR2660591 3682 2699 106.0 ERR2660589 0.992495 c19 c38 c45 c48 +ERR9860930 23627 14221 3.0 SRR20852132 0.988076 c20 c39 c46 c49 +SRR14705985 44320 39471 7.0 SRR14705984 0.998217 c21 c40 c47 c50 +SRR14119024 43483 41181 9.0 SRR6232156 0.999195 c22 c41 c48 c5 0.998289 +ERR12645145 36547 33709 5.0 SRR11528300 0.998066 c23 c42 c49 c51 +DRR413384 41557 40626 10.0 DRR413378 0.999685 c24 c15 c9 c10 0.999685 0.998760 0.998760 +ERR5060417 36136 31817 5.0 SRR20852132 0.996764 c25 c43 c50 c52 +SRR18092228 36600 32682 6.0 SRR6669166 0.997727 c26 c44 c51 c53 +SRR32535665 41496 39097 10.0 SRR32334450 0.998678 c27 c45 c52 c29 0.998678 +SRR6669151 38680 37332 8.0 SRR12887198 0.998545 c28 c46 c53 c3 0.997674 +SRR6669202 37996 36116 6.0 SRR30308170 0.999045 c29 c47 c21 c3 0.999045 0.997674 +SRR6669221 38196 36087 6.0 SRR6227418 0.999025 c30 c48 c54 c3 0.997674 +SRR18092189 36903 34145 6.0 SRR6669199 0.998400 c31 c49 c55 c54 +SRR18092264 36501 32628 5.0 DRR445890 0.997567 c32 c50 c56 c55 +SRR18092184 38377 34931 6.0 SRR36642582 0.998377 c33 c51 c57 c56 +SRR6669167 39863 38850 10.0 SRR6669143 0.999402 c34 c52 c2 c2 0.998730 0.997461 +SRR40320345 44270 41963 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38719 34489 5.0 SRR19854871 0.997968 c137 c142 c130 c114 +SRR10271354 37476 36166 8.0 SRR11528300 0.999542 c138 c143 c1 c1 0.998610 0.997700 +ERR2653651 7153 5778 42.0 ERR2653649 0.989682 c139 c144 c131 c115 +DRR059891 28337 21599 4.0 DRR059892 0.990462 c140 c145 c132 c116 +DRR445895 40792 37864 8.0 DRR342049 0.998571 c141 c146 c133 c2 0.997461 +DRR342045 46243 39398 17.0 DRR445892 0.999674 c142 c3 c2 c2 0.999538 0.998730 0.997461 +DRR893806 41670 40648 10.0 DRR413375 0.999563 c143 c19 c8 c9 0.999563 0.999294 0.998554 +ERR4757125 42132 37657 7.0 ERR4757123 0.997866 c144 c147 c134 c117 +SRR18767174 41212 39939 10.0 SRR11836441 0.997356 c145 c148 c135 c118 +ERR748831 25865 14284 3.0 ERR748793 0.978375 c146 c149 c136 c119 +SRR25528376 44822 41094 16.0 SRR25528372 0.998819 c147 c150 c137 c23 0.998259 +SRR14813097 43832 41425 10.0 SRR14813096 0.999197 c148 c151 c4 c5 0.999010 0.998289 +DRR079310 43543 38674 20.0 DRR413388 0.997815 c149 c152 c138 c120 +ERR1976667 66417 24684 2.0 ERR1976668 0.958288 c150 c153 c139 c121 +ERR2660589 3803 2931 92.0 ERR2660591 0.992495 c151 c154 c140 c122 +SRR36642586 40312 39851 11.0 SRR36642584 0.999889 c152 c5 c12 c12 0.999865 0.999865 0.998715 +ERR17700532 39299 34362 5.0 SRR19854871 0.997839 c153 c155 c141 c123 +ERR10949382 35791 32252 5.0 SRR20852132 0.997508 c154 c156 c142 c124 +SRR25731888 35440 31422 5.0 SRR6669199 0.998026 c155 c157 c143 c125 +SRR6227418 39699 38370 10.0 SRR6227504 0.999605 c156 c6 c6 c3 0.999496 0.998907 0.997674 +SRR11836446 39171 36973 6.0 SRR11836445 0.996541 c157 c158 c144 c126 +ERR6688914 37075 32614 5.0 ERR6688915 0.995821 c158 c159 c145 c127 +ERR9866173 37012 32898 5.0 ERR9866254 0.995261 c159 c160 c146 c128 +SRR34585762 43299 41046 10.0 SRR34585764 0.998473 c160 c161 c147 c32 0.998473 +SRR3056583 37744 34833 6.0 SRR6669205 0.997923 c161 c162 c148 c129 +SRR16282278 37297 35711 6.0 SRR11528300 0.999443 c162 c163 c1 c1 0.998610 0.997700 +SRR9936846 37491 35720 6.0 SRR9936845 0.999141 c163 c164 c23 c1 0.999137 0.997700 +SRR30725259 43458 41495 16.0 SRR30725253 0.999924 c3 c18 c24 c33 0.999924 0.999924 0.999924 0.999924 +SRR19854871 41954 41225 10.0 SRR26305402 0.999703 c164 c7 c4 c5 0.999518 0.999010 0.998289 +SRR18092192 35447 32018 6.0 SRR18092183 0.997043 c165 c165 c149 c130 +SRR6669156 39808 38386 10.0 SRR23973575 0.998459 c166 c166 c150 c4 0.997877 +ERR12645157 35864 32426 5.0 SRR11528300 0.997790 c167 c167 c151 c131 +ERR9860951 23537 14042 3.0 SRR20852132 0.987795 c168 c168 c152 c132 +SRR12887205 42500 39640 9.0 SRR12887191 0.998195 c169 c169 c153 c133 +ERR9980880 36649 32688 5.0 SRR12887198 0.997892 c170 c170 c154 c134 +SRR14705957 41236 38575 9.0 SRR12887188 0.998210 c171 c171 c155 c24 0.998171 +SRR27893663 42917 41285 10.0 SRR27892088 0.996905 c172 c172 c156 c135 +DRR413369 40148 39314 11.0 DRR413368 0.999699 c173 c11 c18 c17 0.999548 0.999548 0.998612 +SRR6207174 41441 40157 8.0 SRR6207177 0.999599 c174 c12 c14 c11 0.999560 0.999277 0.998196 +ERR14112763 36646 33651 5.0 ERR9883089 0.997346 c175 c173 c157 c136 +ERR5060396 36129 32807 5.0 SRR11528300 0.997733 c176 c174 c158 c137 +SRR12102167 39938 38272 7.0 SRR9993992 0.999076 c177 c175 c27 c34 0.999076 0.999076 +SRR6384772 31713 23630 3.0 SRR7503877 0.994310 c178 c176 c159 c138 +ERR9883085 36498 32061 5.0 DRR893802 0.997206 c179 c177 c160 c139 +SRR40320341 45048 42210 9.0 SRR40320353 0.998669 c180 c178 c161 c7 0.998304 +ERR4832474 36655 32842 5.0 SRR12887211 0.998107 c181 c179 c162 c140 +ERR15561594 37273 33116 5.0 ERR5060412 0.996895 c182 c180 c163 c141 +SRR23973580 40019 38495 10.0 SRR23973571 0.999569 c183 c4 c3 c4 0.999488 0.999056 0.997877 +SRR24675067 39415 37123 6.0 SRR24675054 0.997608 c184 c181 c164 c142 +SRR30308170 39938 38426 10.0 SRR6669202 0.999045 c185 c182 c21 c3 0.999045 0.997674 +ERR9872127 38479 33879 5.0 SRR19854871 0.997727 c186 c183 c165 c143 +SRR10271355 37860 36437 8.0 SRR20852132 0.999496 c187 c184 c1 c1 0.998610 0.997700 +ERR2653636 6228 4925 50.0 ERR2653651 0.987632 c188 c185 c166 c144 +DRR059895 30957 23968 4.0 SRR11836446 0.990515 c189 c186 c167 c145 +DRR445898 44576 39193 16.0 DRR342045 0.998864 c190 c187 c168 c2 0.997461 +DRR342052 42876 39204 15.0 DRR342050 0.999642 c191 c20 c2 c2 0.999642 0.998730 0.997461 +DRR893804 41082 40149 11.0 DRR413365 0.997366 c192 c188 c169 c146 +ERR4757128 42276 37824 7.0 DRR342052 0.998148 c193 c189 c170 c147 +SRR18767176 45611 42795 9.0 SRR14705961 0.991421 c194 c190 c171 c148 +ERR748793 25766 14569 3.0 ERR748831 0.978375 c195 c191 c172 c149 +SRR25528374 51173 41795 15.0 DRR413374 0.997288 c196 c192 c173 c150 +SRR14813101 47246 33082 4.0 SRR14813097 0.973977 c197 c193 c174 c151 +DRR079312 44888 39339 19.0 DRR413375 0.998879 c198 c194 c175 c9 0.998554 +ERR1976670 58907 24446 2.0 ERR1976673 0.975493 c199 c195 c176 c152 +ERR2660592 3812 2937 99.0 ERR2662959 0.987831 c200 c196 c177 c153 +SRR36642587 40324 39859 11.0 SRR36642584 0.999880 c201 c5 c12 c12 0.999865 0.999865 0.998715 +ERR17700530 39183 33760 5.0 SRR19854871 0.997643 c202 c197 c178 c154 +ERR10949380 36592 32430 5.0 SRR6669205 0.996899 c203 c198 c179 c155 +SRR25731890 35456 31659 5.0 SRR6669211 0.997468 c204 c199 c180 c156 +SRR6227503 39672 38234 10.0 SRR6227418 0.999558 c205 c6 c6 c3 0.999496 0.998907 0.997674 +SRR11836442 40412 38319 6.0 SRR14705984 0.998344 c206 c200 c181 c25 0.998157 +SRR18092231 40880 38685 9.0 SRR6227419 0.999141 c207 c201 c28 c3 0.999106 0.997674 +SRR6669155 39801 38438 10.0 SRR6669208 0.998551 c208 c202 c182 c4 0.997877 +ERR12645236 36336 32824 5.0 SRR11528300 0.997705 c209 c203 c183 c157 +ERR9860914 23262 13655 3.0 ERR9861190 0.987396 c210 c204 c184 c158 +SRR12887211 40338 38256 9.0 SRR12887212 0.999374 c211 c205 c29 c26 0.999374 0.998781 +ERR9980883 36591 32451 5.0 ERR9980895 0.997049 c212 c206 c185 c159 +SRR14705988 41655 40560 8.0 SRR3624703 1.000000 c4 c2 c10 c8 1.000000 0.999609 0.999609 0.998198 +SRR23388404 43494 38839 7.0 SRR23387524 0.992133 c213 c207 c186 c160 +DRR413383 41379 40143 10.0 DRR413388 0.998449 c214 c208 c187 c22 0.998114 +SRR6207177 41329 40260 8.0 SRR6207176 0.999627 c215 c12 c14 c11 0.999560 0.999277 0.998196 +ERR14172470 31583 24279 4.0 ERR14112763 0.994812 c216 c209 c188 c161 +ERR5060418 36614 32785 5.0 DRR342049 0.996934 c217 c210 c189 c162 +SRR12101022 40091 38452 7.0 SRR12101019 0.997461 c218 c211 c190 c163 +SRR6384794 31241 23060 3.0 SRR12887201 0.994263 c219 c212 c191 c164 +ERR9883079 36039 31768 5.0 SRR12887198 0.997470 c220 c213 c192 c165 +SRR40320349 43104 41417 10.0 SRR40320353 0.999556 c221 c13 c7 c7 0.999534 0.998932 0.998304 +ERR4832462 37925 34022 5.0 SRR14705993 0.995896 c222 c214 c193 c166 +ERR15561593 36720 32547 5.0 SRR12887211 0.997902 c223 c215 c194 c167 +SRR23973578 41501 40404 11.0 DRR413365 0.996998 c224 c216 c195 c168 +SRR24675061 39014 37253 7.0 DRR079313 0.997325 c225 c217 c196 c169 +SRR33381580 39711 37890 9.0 SRR33381576 0.999268 c226 c218 c11 c1 0.999015 0.997700 +ERR9872149 38024 33122 5.0 SRR19854872 0.997538 c227 c219 c197 c170 +SRR11528297 37883 37362 10.0 SRR11528300 0.999842 c228 c1 c1 c1 0.999332 0.998610 0.997700 +ERR2653650 7687 6609 40.0 ERR2653651 0.988503 c229 c220 c198 c171 +DRR059887 36780 31502 5.0 DRR413376 0.995052 c230 c221 c199 c172 +DRR445892 43129 39234 15.0 DRR342045 0.999674 c231 c3 c2 c2 0.999538 0.998730 0.997461 +DRR342047 43317 39541 15.0 DRR342045 0.999660 c232 c3 c2 c2 0.999538 0.998730 0.997461 +DRR893807 41942 40928 10.0 DRR413376 0.999666 c233 c10 c8 c9 0.999565 0.999294 0.998554 +ERR4757127 42487 37839 7.0 ERR4757129 0.997919 c234 c222 c200 c173 +SRR18767171 40664 39007 9.0 SRR7503877 0.998868 c235 c223 c201 c3 0.997674 +ERR748792 24587 13629 3.0 SRR36642582 0.986420 c236 c224 c202 c174 +SRR25528373 50725 41738 16.0 SRR3624706 0.999160 c237 c225 c203 c6 0.997677 +SRR14813098 43924 35496 5.0 SRR14813097 0.982914 c238 c226 c204 c175 +DRR079314 42363 37606 21.0 SRR23387524 0.996160 c239 c227 c205 c176 +ERR1976668 47142 20169 2.0 ERR1976672 0.975718 c240 c228 c206 c177 +ERR2662959 3836 2907 94.5 ERR2660592 0.987831 c241 c229 c207 c178 +SRR36642582 38956 38482 11.0 DRR445890 0.999493 c242 c230 c2 c2 0.998730 0.997461 +ERR17700529 39335 34591 5.0 SRR19854871 0.997937 c243 c231 c208 c179 +ERR10949383 36808 32751 5.0 ERR5060412 0.996998 c244 c232 c209 c180 +SRR25731893 34850 31198 5.0 SRR20852132 0.998114 c245 c233 c210 c181 +SRR6227419 39675 38454 10.0 SRR6227504 0.999598 c246 c6 c6 c3 0.999496 0.998907 0.997674 +SRR18092220 36787 33144 6.0 SRR18092183 0.997259 c247 c234 c211 c182 +SRR6669199 38111 36914 11.0 SRR6669166 0.998755 c248 c235 c212 c3 0.997674 +ERR12645149 36423 33866 6.0 SRR11528300 0.998228 c249 c236 c213 c183 +ERR9860918 23585 14255 3.0 SRR20852132 0.987962 c250 c237 c214 c184 +SRR12887182 44257 40464 6.0 SRR12887179 0.996235 c251 c238 c215 c185 +ERR9980911 36372 32287 5.0 ERR9980895 0.996841 c252 c239 c216 c186 +SRR14705993 39971 39092 8.0 SRR6207175 1.000000 c5 c21 c30 c35 1.000000 1.000000 1.000000 1.000000 +SRR32384812 43256 38923 8.0 SRR32384811 0.998684 c253 c240 c217 c18 0.998472 +DRR413380 41071 40217 10.0 DRR413381 0.999588 c254 c22 c19 c27 0.999588 0.999095 0.999095 +SRR3624703 41655 40560 8.0 SRR14705988 1.000000 c4 c2 c10 c8 1.000000 0.999609 0.999609 0.998198 +ERR14172085 31886 24428 4.0 SRR6669199 0.994580 c255 c241 c218 c187 +ERR5060412 36938 33009 5.0 ERR5060415 0.997035 c256 c242 c219 c188 +SRR12101019 40083 38573 7.0 SRR12101022 0.997461 c257 c243 c220 c189 +SRR6384768 31357 23248 3.0 SRR36642582 0.994332 c258 c244 c221 c190 +ERR9883083 35306 30550 5.0 SRR30308170 0.997282 c259 c245 c222 c191 +SRR40320340 43032 41502 10.0 SRR40320356 0.999537 c260 c246 c5 c6 0.998734 0.997677 +ERR4832458 37227 32982 5.0 SRR14705969 0.997611 c261 c247 c223 c192 +ERR15561588 36720 31644 5.0 SRR12887168 0.997357 c262 c248 c224 c193 +SRR23973571 39971 38547 10.0 SRR23973580 0.999569 c263 c4 c3 c4 0.999488 0.999056 0.997877 +SRR24675066 37438 34649 6.0 SRR6669205 0.997179 c264 c249 c225 c194 +SRR33381574 40411 37470 8.0 SRR33381580 0.999047 c265 c250 c226 c1 0.997700 +ERR9872156 38545 34187 5.0 SRR19854871 0.997884 c266 c251 c227 c195 +SRR11528301 37971 37389 10.0 SRR11528300 0.999833 c267 c1 c1 c1 0.999332 0.998610 0.997700 +ERR2653642 6689 5492 43.0 ERR2653641 0.995338 c268 c252 c228 c196 +DRR059886 35991 29529 4.0 DRR413384 0.996275 c269 c253 c229 c197 +DRR445896 43017 39342 15.0 DRR342051 0.999652 c270 c9 c2 c2 0.999577 0.998730 0.997461 +DRR342048 43268 39588 15.0 DRR445891 0.999636 c271 c9 c2 c2 0.999577 0.998730 0.997461 +DRR893808 42090 40403 11.0 DRR413384 0.999537 c272 c254 c9 c10 0.998760 0.998760 +ERR4757126 42225 37921 8.0 DRR445890 0.998399 c273 c255 c230 c198 +SRR18767173 47698 40439 8.0 SRR20852132 0.996714 c274 c256 c231 c199 +ERR748982 25617 16117 3.0 SRR20852132 0.990200 c275 c257 c232 c200 +SRR25528371 47977 41197 17.0 SRR6207177 0.999332 c276 c258 c14 c11 0.999277 0.998196 +SRR14813096 41626 40495 11.0 SRR14813102 0.999487 c277 c259 c4 c5 0.999010 0.998289 +DRR079311 43823 38847 20.0 DRR413391 0.998289 c278 c260 c233 c201 +ERR1976673 46122 22309 2.0 ERR1976670 0.975493 c279 c261 c234 c202 +ERR2662958 3447 2541 99.0 ERR2653644 0.974955 c280 c262 c235 c203 +SRR36642583 38561 38032 11.0 SRR7503877 0.999078 c281 c263 c25 c3 0.999078 0.997674 +SRR18092263 29663 24431 6.0 SRR18092277 0.994341 c282 c264 c236 c204 +SRR6669187 39822 38385 9.0 DRR445890 0.999279 c283 c265 c2 c2 0.998730 0.997461 +ERR12645201 36694 33949 5.0 SRR11528300 0.998146 c284 c266 c237 c205 +ERR9860924 23751 14230 3.0 ERR9861190 0.988160 c285 c267 c238 c206 +SRR12887212 41464 38262 10.0 SRR12887211 0.999374 c286 c268 c29 c26 0.999374 0.998781 +ERR9980909 36489 32101 5.0 ERR9980898 0.996894 c287 c269 c239 c207 +SRR14705969 40194 38305 12.0 SRR6669165 0.998099 c288 c270 c240 c208 +SRR27918925 39451 37935 11.0 SRR27893665 0.995905 c289 c271 c241 c209 +DRR413382 41592 40462 10.0 DRR413390 0.998638 c290 c272 c242 c13 0.997837 +SRR3624706 41773 40662 8.0 SRR3624698 0.999582 c291 c8 c5 c6 0.999530 0.998734 0.997677 +ERR2660278 8430 6552 58.0 ERR2653642 0.991503 c292 c273 c243 c210 +ERR5060392 36512 32437 5.0 SRR6669151 0.997551 c293 c274 c244 c211 +SRR12101021 39950 38303 7.0 SRR12101017 0.997386 c294 c275 c245 c212 +SRR6384774 30818 22788 3.0 SRR12887198 0.993802 c295 c276 c246 c213 +ERR9883093 36398 32314 5.0 SRR12887206 0.997732 c296 c277 c247 c214 +SRR40320344 48133 45121 9.0 SRR40320342 0.997807 c297 c278 c248 c215 +ERR4832473 36531 32415 5.0 SRR36642583 0.997661 c298 c279 c249 c216 +ERR15561596 36971 32257 5.0 ERR15561594 0.996628 c299 c280 c250 c217 +SRR23973577 41901 40548 10.0 DRR893804 0.997235 c300 c281 c251 c218 +SRR24675065 39226 36521 6.0 DRR413369 0.997113 c301 c282 c252 c219 +SRR33381579 39010 37406 9.0 SRR33381577 0.999247 c302 c283 c15 c1 0.999026 0.997700 +ERR9872275 38554 34310 5.0 SRR19854871 0.997898 c303 c284 c253 c220 +SRR11528304 38003 37374 10.0 SRR11528300 0.999824 c304 c1 c1 c1 0.999332 0.998610 0.997700 +ERR2653644 6692 6254 43.0 ERR2653635 0.979943 c305 c285 c254 c221 +DRR059884 35037 30071 4.0 SRR24890911 0.997168 c306 c286 c255 c222 +DRR445890 40741 38967 16.0 DRR342045 0.999621 c307 c3 c2 c2 0.999538 0.998730 0.997461 +DRR342049 40675 38886 16.0 DRR342051 0.999607 c308 c9 c2 c2 0.999577 0.998730 0.997461 +DRR893809 42973 41298 10.0 DRR893811 0.999438 c309 c287 c4 c5 0.999010 0.998289 +ERR4757131 42138 37805 7.0 DRR342050 0.998066 c310 c288 c256 c223 +SRR18767172 47514 43098 6.0 SRR18767173 0.995689 c311 c289 c257 c224 +ERR747964 27844 18027 3.0 DRR413382 0.990075 c312 c290 c258 c225 +SRR25528369 44054 39994 18.0 DRR413384 0.999352 c313 c291 c9 c10 0.998760 0.998760 +SRR14813099 42754 40192 10.0 SRR14813096 0.999155 c314 c292 c259 c5 0.998289 +DRR079313 42688 36765 21.0 DRR413369 0.998766 c315 c293 c260 c17 0.998612 +SRR18092215 36723 34293 7.0 SRR18092183 0.997683 c316 c294 c261 c226 +SRR6669205 39438 38190 10.0 SRR6669158 0.998189 c317 c295 c262 c14 0.997991 +ERR12645198 36318 33009 5.0 SRR20852132 0.997843 c318 c296 c263 c227 +ERR9860902 23126 13548 3.0 ERR9861190 0.987188 c319 c297 c264 c228 +SRR12887188 40709 38988 9.0 SRR12887189 0.999503 c320 c23 c31 c24 0.999503 0.999503 0.998171 +ERR9980876 36569 32370 5.0 SRR12887210 0.996774 c321 c298 c265 c229 +SRR14705979 40969 39861 11.0 SRR25528375 0.998582 c322 c299 c266 c20 0.998090 +SRR27893664 43097 41357 10.0 SRR14705979 0.998171 c323 c300 c267 c20 0.998090 +DRR413381 41075 39780 10.0 DRR413380 0.999588 c324 c22 c19 c27 0.999588 0.999095 0.999095 +SRR6207176 41624 40252 8.0 SRR6207177 0.999627 c325 c12 c14 c11 0.999560 0.999277 0.998196 +ERR15523383 31763 23893 4.0 SRR36642583 0.994590 c326 c301 c268 c230 +ERR5060407 36631 32572 5.0 SRR12887168 0.998096 c327 c302 c269 c36 0.998096 +SRR9989235 40406 38154 6.0 SRR9993989 0.998966 c328 c303 c270 c37 0.998966 +SRR6384797 31318 24385 4.0 SRR18767170 0.994530 c329 c304 c271 c231 +ERR9883096 35732 30665 5.0 SRR12887215 0.997065 c330 c305 c272 c232 +SRR40320347 46340 43397 9.0 SRR6207178 0.998273 c331 c306 c273 c15 0.997728 +ERR4832465 37407 33246 5.0 ERR4832464 0.997323 c332 c307 c274 c233 +ERR15561585 36583 31160 5.0 SRR12887168 0.997155 c333 c308 c275 c234 +SRR23973572 39924 38483 10.0 SRR23973571 0.999567 c334 c4 c3 c4 0.999488 0.999056 0.997877 +SRR24675064 38454 35560 6.0 SRR24675065 0.997068 c335 c309 c276 c235 +SRR33381583 38974 37390 10.0 SRR33381577 0.999254 c336 c310 c15 c1 0.999026 0.997700 +ERR9872278 38051 33386 5.0 SRR19854872 0.997568 c337 c311 c277 c236 +SRR10271357 39076 37806 9.0 SRR20852132 0.999593 c338 c1 c1 c1 0.999332 0.998610 0.997700 +ERR2653649 8182 7092 35.0 ERR2653651 0.989682 c339 c312 c278 c237 +DRR059892 31983 26416 4.0 DRR342044 0.994136 c340 c313 c279 c238 +DRR445893 41207 38428 8.0 DRR445890 0.998739 c341 c314 c280 c2 0.997461 +DRR342051 43044 39307 15.0 DRR445896 0.999652 c342 c9 c2 c2 0.999577 0.998730 0.997461 +DRR893802 39902 38887 10.0 SRR14119029 0.998605 c343 c315 c281 c19 0.998119 +ERR4757130 42076 37805 8.0 DRR342050 0.998009 c344 c316 c282 c239 +SRR18767170 39505 38142 10.0 SRR20852132 0.998219 c345 c317 c283 c240 +ERR3397102 27574 16775 3.0 SRR14705991 0.988046 c346 c318 c284 c241 +SRR25528372 48787 41521 14.0 SRR25528376 0.998819 c347 c319 c285 c23 0.998259 +SRR14813100 44505 42372 10.0 DRR893811 0.998718 c348 c320 c286 c5 0.998289 +SRR18092213 35730 31532 5.0 SRR6669199 0.997479 c349 c321 c287 c242 +SRR6669214 39003 37754 10.0 SRR6669211 0.999657 c350 c24 c20 c14 0.999657 0.999172 0.997991 +ERR12645136 36419 32575 5.0 SRR11528300 0.997052 c351 c322 c288 c243 +ERR9860954 22820 13450 3.0 ERR9861190 0.986814 c352 c323 c289 c244 +SRR12887189 40808 39042 10.0 SRR12887188 0.999503 c353 c23 c31 c24 0.999503 0.999503 0.998171 +ERR9980901 36380 31775 5.0 ERR9980895 0.996827 c354 c324 c290 c245 +SRR14705968 40228 37463 9.0 SRR6669199 0.998385 c355 c325 c291 c246 +SRR27892088 42182 40549 10.0 SRR27893663 0.996905 c356 c326 c292 c247 +DRR413368 40293 39480 11.0 DRR413369 0.999699 c357 c11 c18 c17 0.999548 0.999548 0.998612 +SRR6207175 39971 39092 8.0 SRR14705993 1.000000 c5 c21 c30 c35 1.000000 1.000000 1.000000 1.000000 +ERR14172950 31752 24523 4.0 SRR6669199 0.994972 c358 c327 c293 c248 +ERR5060413 36677 32507 5.0 ERR5060412 0.996967 c359 c328 c294 c249 +SRR12101020 40012 38328 7.0 SRR12101017 0.998099 c360 c329 c295 c250 +SRR6384806 31553 23754 3.0 SRR12887211 0.993991 c361 c330 c296 c251 +ERR9883087 36032 32380 5.0 SRR12887210 0.997121 c362 c331 c297 c252 +SRR40320355 41225 31335 4.0 SRR40320349 0.986694 c363 c332 c298 c253 +ERR4832472 37417 33583 5.0 SRR11836446 0.995596 c364 c333 c299 c254 +ERR15561598 37046 32477 5.0 ERR15561594 0.996806 c365 c334 c300 c255 +SRR23973569 39645 37869 10.0 SRR23973571 0.999321 c366 c335 c3 c4 0.999056 0.997877 +SRR24675060 37772 33995 6.0 SRR12887210 0.996549 c367 c336 c301 c256 +SRR33381581 39978 37733 9.0 SRR33381580 0.999255 c368 c337 c11 c1 0.999015 0.997700 +ERR9872120 38651 34223 5.0 SRR19854871 0.997920 c369 c338 c302 c257 +SRR11528303 37942 37367 10.0 SRR11528300 0.999828 c370 c1 c1 c1 0.999332 0.998610 0.997700 +ERR2653635 7009 6675 40.0 ERR2653643 0.986887 c371 c339 c303 c258 +DRR059885 34666 28469 4.0 ERR4832472 0.993514 c372 c340 c304 c259 +DRR445891 43201 39535 15.0 DRR342045 0.999669 c373 c3 c2 c2 0.999538 0.998730 0.997461 +DRR342050 42987 39531 15.0 DRR342052 0.999642 c374 c20 c2 c2 0.999642 0.998730 0.997461 +DRR893810 42867 41186 10.0 DRR893809 0.999421 c375 c341 c4 c5 0.999010 0.998289 +ERR4757124 42509 38132 7.0 ERR4757125 0.997524 c376 c342 c305 c260 +SRR18767177 39787 37675 11.0 SRR27918216 0.902764 c377 c343 c306 c261 +SRR18092196 38936 35481 6.0 SRR6669195 0.998160 c378 c344 c307 c262 +SRR6669175 39208 37689 7.0 SRR14705969 0.997473 c379 c345 c308 c263 +ERR12645202 36312 32993 5.0 SRR11528300 0.997721 c380 c346 c309 c264 +ERR9861082 21482 12165 3.0 ERR9861190 0.985486 c381 c347 c310 c265 +SRR12887198 39885 38407 10.0 SRR12887201 0.998942 c382 c348 c311 c3 0.997674 +ERR9980916 36664 32618 5.0 SRR12887210 0.996854 c383 c349 c312 c266 +SRR14705958 49185 42079 12.0 SRR12887189 0.996863 c384 c350 c313 c267 +SRR27891905 42287 40585 10.0 SRR27918216 0.996988 c385 c351 c314 c268 +DRR413389 41459 40407 10.0 DRR413385 0.998487 c386 c352 c315 c13 0.997837 +SRR14119025 43819 41395 8.0 SRR6207177 0.997704 c387 c353 c316 c269 +ERR2660299 12383 7753 15.0 SRR12887191 0.970065 c388 c354 c317 c270 +ERR5060391 36739 32635 5.0 DRR342049 0.997238 c389 c355 c318 c271 +SRR9983184 40034 38071 7.0 SRR12101020 0.997330 c390 c356 c319 c272 +SRR6384808 31155 22944 3.0 DRR893802 0.993316 c391 c357 c320 c273 +ERR9883101 36107 31538 5.0 SRR12887211 0.995981 c392 c358 c321 c274 +SRR40320356 42222 41173 10.0 SRR40320338 0.999661 c393 c8 c5 c6 0.999530 0.998734 0.997677 +ERR4832475 36818 32986 5.0 DRR342049 0.997750 c394 c359 c322 c275 +ERR15561595 36789 32658 5.0 SRR12887211 0.997990 c395 c360 c323 c276 +SRR23973576 40174 38596 10.0 SRR23973575 0.999548 c396 c16 c3 c4 0.999548 0.999056 0.997877 +SRR24675058 37816 34515 6.0 SRR3056613 0.998079 c397 c361 c324 c277 +SRR33381582 40300 37896 9.0 SRR33381580 0.999206 c398 c362 c11 c1 0.999015 0.997700 +ERR9872200 38425 33927 5.0 SRR19854871 0.997767 c399 c363 c325 c278 +SRR11528305 37954 37386 10.0 SRR11528300 0.999832 c400 c1 c1 c1 0.999332 0.998610 0.997700 +ERR2653641 7471 6261 37.0 ERR2653642 0.995338 c401 c364 c326 c279 +DRR059894 30760 24093 4.0 DRR059885 0.990704 c402 c365 c327 c280 +DRR445897 45736 39185 17.0 DRR342044 0.999522 c403 c17 c17 c21 0.999522 0.999318 0.999318 +DRR342046 43293 39345 14.0 DRR342050 0.999355 c404 c366 c2 c2 0.998730 0.997461 +DRR893805 41989 40971 10.0 DRR413376 0.999476 c405 c367 c8 c9 0.999294 0.998554 +SRR18092275 35462 32631 7.0 SRR18092183 0.998176 c406 c368 c328 c281 +SRR6669210 40178 37685 9.0 DRR342049 0.998866 c407 c369 c329 c2 0.997461 +ERR12645150 36498 33657 5.0 SRR11528300 0.998177 c408 c370 c330 c282 +ERR9860945 22953 13556 3.0 ERR9861190 0.987025 c409 c371 c331 c283 +SRR12887176 34226 25470 4.0 SRR12887180 0.991071 c410 c372 c332 c284 +ERR9980912 36701 32439 5.0 SRR6669188 0.996702 c411 c373 c333 c285 +SRR14705955 42078 40062 9.0 DRR413380 0.999207 c412 c374 c19 c27 0.999095 0.999095 +SRR23476220 39365 36665 10.0 SRR27891887 0.919933 c413 c375 c334 c286 +DRR413391 41112 40126 11.0 DRR413390 0.998743 c414 c376 c335 c13 0.997837 +SRR6207179 42131 40818 8.0 SRR6207178 0.999569 c415 c14 c16 c15 0.999516 0.999031 0.997728 +ERR14370168 31464 23917 4.0 SRR6669151 0.994698 c416 c377 c336 c287 +ERR5060411 36639 32489 5.0 ERR5060410 0.997033 c417 c378 c337 c288 +SRR9983185 39960 37807 6.0 SRR12101021 0.997351 c418 c379 c338 c289 +SRR6384795 31717 23840 4.0 SRR36642583 0.994353 c419 c380 c339 c290 +ERR9883089 35852 32072 5.0 ERR14112763 0.997346 c420 c381 c340 c291 +SRR40320336 47549 44423 9.0 SRR40320346 0.997952 c421 c382 c341 c292 +ERR4832476 37250 32197 5.0 ERR4832472 0.995166 c422 c383 c342 c293 +ERR15561589 37015 32454 5.0 SRR12887198 0.998045 c423 c384 c343 c294 +SRR23973574 39996 38489 10.0 SRR23973573 0.999577 c424 c4 c3 c4 0.999488 0.999056 0.997877 +SRR24675063 38412 34496 6.0 DRR413369 0.996200 c425 c385 c344 c295 +SRR33381575 40433 37415 8.0 SRR33381580 0.998983 c426 c386 c345 c1 0.997700 +ERR9872276 38847 34610 5.0 SRR19854871 0.998066 c427 c387 c346 c296 +SRR11528302 37952 37364 10.0 SRR11528300 0.999826 c428 c1 c1 c1 0.999332 0.998610 0.997700 +ERR2653637 8381 7171 34.0 ERR2653649 0.987429 c429 c388 c347 c297 +DRR059888 36792 31997 5.0 DRR413368 0.997714 c430 c389 c348 c298 +DRR445899 46236 39839 16.0 DRR342044 0.999473 c431 c390 c17 c21 0.999318 0.999318 +SRR18092241 35674 31289 6.0 SRR18092189 0.997175 c432 c391 c349 c299 +SRR6669161 38728 37516 10.0 SRR6669158 0.998815 c433 c392 c350 c14 0.997991 +ERR12645190 36403 33734 5.0 SRR11528300 0.998198 c434 c393 c351 c300 +ERR9860935 23714 14074 3.0 ERR9861190 0.988208 c435 c394 c352 c301 +SRR12887180 43692 39301 6.0 SRR36642583 0.993325 c436 c395 c353 c302 +ERR9980886 36617 32542 5.0 ERR9980898 0.996971 c437 c396 c354 c303 +SRR14705981 40970 38738 9.0 ERR4832468 0.988119 c438 c397 c355 c304 +SRR27891917 43098 40609 9.0 SRR40320335 0.997290 c439 c398 c356 c305 +DRR413390 41395 40452 11.0 DRR413391 0.998743 c440 c399 c357 c13 0.997837 +SRR6207178 41758 40683 8.0 SRR6207179 0.999569 c441 c14 c16 c15 0.999516 0.999031 0.997728 +ERR2660275 8901 7569 58.0 ERR2660277 0.976242 c442 c400 c358 c306 +ERR5060415 36902 32632 5.0 ERR5060412 0.997035 c443 c401 c359 c307 +SRR9993988 39681 37542 6.0 SRR12102168 0.997297 c444 c402 c360 c308 +SRR6384791 31793 24044 4.0 SRR36642582 0.994631 c445 c403 c361 c309 +ERR9883086 36211 31592 5.0 SRR12887215 0.997361 c446 c404 c362 c310 +SRR40320353 42312 41146 10.0 SRR40320343 0.999700 c447 c13 c7 c7 0.999534 0.998932 0.998304 +ERR4832464 37211 33172 5.0 ERR4832465 0.997323 c448 c405 c363 c311 +ERR15561580 36816 32621 5.0 SRR36642583 0.997402 c449 c406 c364 c312 +SRR23973583 40034 38144 10.0 SRR23973582 0.999243 c450 c407 c32 c38 0.999243 0.999243 +SRR24675062 38542 35749 6.0 DRR079313 0.997068 c451 c408 c365 c313 +SRR33381573 40408 37677 8.0 SRR33381580 0.999000 c452 c409 c366 c1 0.997700 +ERR9872274 37954 33349 5.0 SRR19854872 0.997520 c453 c410 c367 c314 +SRR11528300 37919 37367 10.0 SRR11528297 0.999842 c454 c1 c1 c1 0.999332 0.998610 0.997700 +ERR2653648 3586 3316 13.0 ERR2653644 0.979107 c455 c411 c368 c315 +DRR059890 31252 25431 4.0 SRR10271354 0.994602 c456 c412 c369 c316 +SRR18092277 34792 30063 6.0 SRR18092253 0.997058 c457 c413 c370 c317 +SRR6669166 38924 37934 10.0 SRR6669169 0.999284 c458 c414 c6 c3 0.998907 0.997674 +ERR12645153 36063 32740 5.0 SRR11528300 0.997968 c459 c415 c371 c318 +ERR9861091 21745 12396 3.0 ERR9861190 0.985591 c460 c416 c372 c319 +SRR12887210 39835 37966 10.0 SRR6669188 0.998061 c461 c417 c373 c320 +ERR9980919 36288 31951 5.0 ERR9980917 0.996802 c462 c418 c374 c321 +SRR14705983 46207 42448 11.0 SRR14705984 0.998596 c463 c419 c375 c25 0.998157 +SRR27893665 40205 38305 11.0 SRR27918925 0.995905 c464 c420 c376 c322 +DRR413365 40798 40017 11.0 DRR893804 0.997366 c465 c421 c377 c323 +SRR6207181 41871 40680 8.0 SRR6207178 0.999563 c466 c14 c16 c15 0.999516 0.999031 0.997728 +ERR2660297 6142 4503 53.0 ERR2653650 0.978337 c467 c422 c378 c324 +ERR5060414 36555 32695 5.0 SRR12887211 0.998099 c468 c423 c379 c325 +SRR12101017 41561 39300 6.0 SRR12101023 0.998627 c469 c424 c380 c39 0.998627 +SRR6384809 31664 23642 3.0 SRR12887195 0.994691 c470 c425 c381 c326 +ERR9883102 35959 30960 5.0 SRR6669175 0.996474 c471 c426 c382 c327 +SRR40320352 44851 42160 9.0 SRR40320343 0.998970 c472 c427 c383 c7 0.998304 +ERR4832460 38741 34166 5.0 DRR413376 0.997962 c473 c428 c384 c328 +ERR15561583 36988 32923 5.0 ERR15561582 0.996824 c474 c429 c385 c329 +SRR23973573 39957 38527 10.0 SRR23973574 0.999577 c475 c4 c3 c4 0.999488 0.999056 0.997877 +SRR24675056 38243 34470 6.0 SRR24675055 0.997440 c476 c430 c386 c330 +SRR33381572 40287 37516 8.0 SRR33381580 0.999111 c477 c431 c11 c1 0.999015 0.997700 +ERR9872277 38334 33847 5.0 SRR19854872 0.997736 c478 c432 c387 c331 +SRR11528299 37974 37351 10.0 SRR11528300 0.999810 c479 c1 c1 c1 0.999332 0.998610 0.997700 +ERR2653643 14801 8378 3.0 ERR2653635 0.986887 c480 c433 c388 c332 +SRR18092198 35468 31917 6.0 SRR18092189 0.997480 c481 c434 c389 c333 +SRR6669191 39718 38481 10.0 SRR6669195 0.999446 c482 c435 c13 c2 0.999268 0.997461 +ERR12645137 36396 33841 6.0 SRR20852132 0.998123 c483 c436 c390 c334 +ERR9860949 22215 12963 3.0 ERR9861190 0.986214 c484 c437 c391 c335 +SRR12887168 39604 38404 10.0 ERR5060407 0.998096 c485 c438 c392 c36 0.998096 +ERR9980879 36845 32723 5.0 SRR6227419 0.998046 c486 c439 c393 c336 +SRR14705984 45222 41778 11.0 SRR14705983 0.998596 c487 c440 c394 c25 0.998157 +SRR27918216 41145 39716 11.0 SRR27891905 0.996988 c488 c441 c395 c337 +DRR413375 41233 40333 11.0 DRR893806 0.999563 c489 c19 c8 c9 0.999563 0.999294 0.998554 +SRR14119028 47168 43971 7.0 SRR6384776 0.994681 c490 c442 c396 c338 +ERR14370181 31042 23562 4.0 SRR12887168 0.993401 c491 c443 c397 c339 +ERR5060397 36778 33084 5.0 SRR6669188 0.996858 c492 c444 c398 c340 +SRR9993992 39939 37793 6.0 SRR12102167 0.999076 c493 c445 c27 c34 0.999076 0.999076 +SRR6384785 31821 23867 4.0 SRR36642582 0.993846 c494 c446 c399 c341 +ERR9883078 36652 31782 5.0 DRR342044 0.996362 c495 c447 c400 c342 +SRR40320334 45234 42448 9.0 SRR40320357 0.998571 c496 c448 c401 c28 0.998439 +ERR4832469 37543 33115 5.0 ERR4832465 0.997186 c497 c449 c402 c343 +ERR15561597 36925 32788 5.0 SRR12887211 0.998053 c498 c450 c403 c344 +SRR23973570 40098 38477 10.0 SRR23973572 0.999508 c499 c451 c3 c4 0.999056 0.997877 +SRR24675059 38356 35018 6.0 SRR32491103 0.997408 c500 c452 c404 c345 +SRR33381577 38538 37319 10.0 SRR33381583 0.999254 c501 c453 c15 c1 0.999026 0.997700 +ERR9872206 38430 34051 5.0 SRR19854871 0.997777 c502 c454 c405 c346 +SRR11528298 37940 37364 10.0 SRR11528300 0.999837 c503 c1 c1 c1 0.999332 0.998610 0.997700 +SRR18092232 40995 38506 9.0 SRR18092231 0.999106 c504 c455 c28 c3 0.999106 0.997674 +SRR6669160 39473 38322 10.0 SRR6669165 0.999360 c505 c456 c13 c2 0.999268 0.997461 +ERR12645148 36259 32520 5.0 SRR11528300 0.997781 c506 c457 c406 c347 +ERR9861078 22007 12546 3.0 SRR20852132 0.986167 c507 c458 c407 c348 +SRR12887197 40834 38590 9.0 SRR12887211 0.998871 c508 c459 c408 c26 0.998781 +ERR9980908 36330 32022 5.0 ERR9980898 0.996819 c509 c460 c409 c349 +SRR14705991 44008 39995 14.0 SRR14705980 0.998931 c510 c461 c410 c40 0.998931 +SRR32384506 41593 38989 9.0 SRR14705993 0.995509 c511 c462 c411 c350 +DRR413372 41875 41012 10.0 DRR413371 0.998572 c512 c463 c412 c30 0.998572 +SRR14119022 43533 41248 8.0 SRR30725253 0.996952 c513 c464 c413 c351 +ERR14172142 32307 24711 4.0 DRR445897 0.993804 c514 c465 c414 c352 +ERR5060404 36516 32489 5.0 SRR12887210 0.996467 c515 c466 c415 c353 +SRR9983182 39917 37764 6.0 DRR413365 0.996776 c516 c467 c416 c354 +SRR6384786 32004 23723 3.0 DRR893802 0.993968 c517 c468 c417 c355 +ERR9883092 36030 31471 5.0 SRR12887168 0.997655 c518 c469 c418 c356 +SRR40320350 42213 40901 10.0 SRR40320357 0.999038 c519 c470 c33 c28 0.999038 0.998439 +ERR4832471 36873 32307 5.0 DRR445890 0.997459 c520 c471 c419 c357 +ERR15561590 37059 32737 5.0 ERR15561594 0.996846 c521 c472 c420 c358 +SRR23973579 40008 38443 10.0 SRR23973571 0.999515 c522 c473 c3 c4 0.999056 0.997877 +SRR24675053 39070 35269 6.0 SRR24675061 0.996420 c523 c474 c421 c359 +SRR33381578 39774 37576 9.0 SRR33381579 0.999038 c524 c475 c15 c1 0.999026 0.997700 +SRR18092282 36323 33196 6.0 SRR6669189 0.998101 c525 c476 c422 c16 0.997943 +SRR6669211 38814 37656 10.0 SRR6669214 0.999657 c526 c24 c20 c14 0.999657 0.999172 0.997991 +ERR12645135 36158 32769 5.0 SRR11528300 0.997943 c527 c477 c423 c360 +ERR9861090 21058 11890 3.0 ERR9861190 0.984980 c528 c478 c424 c361 +SRR12887193 39682 38447 9.0 SRR12887198 0.998701 c529 c479 c425 c3 0.997674 +ERR9980885 36672 32587 5.0 ERR9980898 0.997059 c530 c480 c426 c362 +SRR14705977 42041 37571 12.0 SRR6669211 0.994659 c531 c481 c427 c363 +SRR23388169 43619 41508 9.0 SRR3624705 0.998980 c532 c482 c428 c8 0.998198 +DRR413392 42614 41135 11.0 DRR413390 0.997543 c533 c483 c429 c364 +SRR14119007 43866 41264 9.0 SRR6207178 0.999054 c534 c484 c16 c15 0.999031 0.997728 +ERR15523384 31596 23970 4.0 SRR6669151 0.994380 c535 c485 c430 c365 +ERR5060416 36847 32518 5.0 DRR342044 0.996557 c536 c486 c431 c366 +SRR12101028 40040 38341 7.0 SRR12101022 0.997359 c537 c487 c432 c367 +SRR6384793 32148 25186 4.0 SRR12887198 0.994897 c538 c488 c433 c368 +ERR9883084 36135 31679 5.0 DRR342049 0.997443 c539 c489 c434 c369 +SRR40320354 43544 41679 10.0 SRR6207180 0.999309 c540 c490 c7 c7 0.998932 0.998304 +ERR4832470 37395 33493 5.0 ERR4832466 0.997424 c541 c491 c435 c370 +ERR15561582 37139 32675 5.0 ERR15561594 0.996854 c542 c492 c436 c371 +SRR23973582 40118 38338 10.0 SRR23973583 0.999243 c543 c493 c32 c38 0.999243 0.999243 +SRR24675057 38178 34181 6.0 SRR6227418 0.997792 c544 c494 c437 c372 +SRR18092245 38771 35520 6.0 DRR342049 0.998528 c545 c495 c438 c2 0.997461 +SRR6669189 39723 38123 10.0 SRR23973572 0.999256 c546 c496 c3 c4 0.999056 0.997877 +ERR12645183 36474 33866 5.0 SRR11528300 0.998168 c547 c497 c439 c373 +ERR9860959 24013 14540 3.0 ERR9861190 0.988455 c548 c498 c440 c374 +SRR12887204 40180 38569 9.0 DRR342049 0.998198 c549 c499 c441 c375 +ERR9980884 36645 32518 5.0 ERR9980895 0.997064 c550 c500 c442 c376 +SRR14705963 40881 37710 14.0 SRR24675055 0.997197 c551 c501 c443 c377 +SRR32384811 43499 38862 8.0 SRR32384812 0.998684 c552 c502 c444 c18 0.998472 +DRR413387 41287 40207 10.0 DRR413388 0.998961 c553 c503 c445 c22 0.998114 +SRR6207180 41822 40840 8.0 SRR40320353 0.999475 c554 c504 c7 c7 0.998932 0.998304 +ERR14370177 31758 24108 4.0 SRR12887198 0.995006 c555 c505 c446 c378 +ERR5060390 36446 32173 5.0 ERR10949380 0.996828 c556 c506 c447 c379 +SRR12101029 40006 38457 7.0 SRR12101020 0.997473 c557 c507 c448 c380 +SRR6384784 30194 21963 3.0 SRR12887198 0.993557 c558 c508 c449 c381 +ERR9883088 36492 33036 5.0 SRR24675055 0.997117 c559 c509 c450 c382 +SRR40320335 43064 41062 10.0 SRR40320356 0.997482 c560 c510 c451 c383 +ERR4832461 38714 34095 5.0 DRR413374 0.997936 c561 c511 c452 c384 +SRR18092183 36878 34831 7.0 SRR6669189 0.998357 c562 c512 c453 c16 0.997943 +SRR6669165 39328 38151 10.0 SRR6669160 0.999360 c563 c513 c13 c2 0.999268 0.997461 +ERR12645139 36625 33006 5.0 SRR11528300 0.997586 c564 c514 c454 c385 +ERR9861099 22315 13026 3.0 SRR10271354 0.986557 c565 c515 c455 c386 +SRR12887206 40759 38348 9.0 DRR342049 0.999107 c566 c516 c456 c2 0.997461 +ERR9980895 36707 32733 5.0 ERR9980898 0.997078 c567 c517 c457 c387 +SRR14705962 44194 40507 11.0 SRR12887188 0.998117 c568 c518 c458 c388 +SRR32334450 41574 39171 10.0 SRR32535665 0.998678 c569 c519 c459 c29 0.998678 +DRR413385 41583 40443 10.0 DRR413389 0.998487 c570 c520 c460 c13 0.997837 +SRR14119023 43117 41242 9.0 SRR3624698 0.999373 c571 c521 c5 c6 0.998734 0.997677 +ERR14172071 32385 25262 4.0 SRR36642583 0.995311 c572 c522 c461 c389 +ERR5060410 36578 32713 5.0 ERR5060411 0.997033 c573 c523 c462 c390 +SRR12101023 40394 38810 7.0 SRR12101017 0.998627 c574 c524 c463 c39 0.998627 +ERR9883090 35655 31705 5.0 ERR14112763 0.997239 c575 c525 c464 c391 +SRR40320357 43857 41732 10.0 SRR40320350 0.999038 c576 c526 c33 c28 0.999038 0.998439 +ERR4832467 37236 33325 5.0 ERR4832466 0.997472 c577 c527 c465 c392 +SRR18092211 36208 33738 7.0 SRR18092183 0.998238 c578 c528 c466 c16 0.997943 +SRR6669158 39136 38013 10.0 SRR6669211 0.999218 c579 c529 c20 c14 0.999172 0.997991 +ERR12645180 36453 33645 5.0 SRR11528300 0.998271 c580 c530 c467 c31 0.998015 +ERR9860880 23522 14120 3.0 SRR20852132 0.987931 c581 c531 c468 c393 +SRR12887179 42853 37687 5.0 SRR12887182 0.996235 c582 c532 c469 c394 +ERR9980910 36352 31922 5.0 ERR9980895 0.996818 c583 c533 c470 c395 +SRR14705965 41576 39638 12.0 SRR25731886 0.898073 c584 c534 c471 c396 +SRR33892673 55850 44436 7.0 SRR27893663 0.994131 c585 c535 c472 c397 +DRR413379 42267 41152 9.0 DRR413384 0.999214 c586 c536 c9 c10 0.998760 0.998760 +SRR14119020 43061 40810 9.0 SRR25528376 0.998605 c587 c537 c473 c23 0.998259 +ERR2660277 7431 6296 65.0 ERR2660280 0.996283 c588 c538 c474 c398 +ERR5060399 36245 32739 5.0 SRR20852132 0.997471 c589 c539 c475 c399 +SRR9989236 39961 38032 6.0 SRR12101029 0.997335 c590 c540 c476 c400 +SRR6384807 31067 22710 3.0 SRR6669205 0.993413 c591 c541 c477 c401 +ERR9883098 35899 32336 5.0 SRR11528300 0.997768 c592 c542 c478 c402 +SRR40320351 50468 46174 7.0 SRR40320342 0.994848 c593 c543 c479 c403 +ERR4832468 36439 31859 5.0 SRR14705981 0.988119 c594 c544 c480 c404 +SRR18092253 34716 30877 6.0 SRR18092277 0.997058 c595 c545 c481 c405 +SRR6669188 39408 37987 10.0 SRR6669190 0.999479 c596 c546 c34 c4 0.999479 0.997877 +ERR12645167 36258 32746 5.0 SRR11528300 0.997799 c597 c547 c482 c406 +ERR9861087 21995 12675 3.0 SRR20852132 0.986160 c598 c548 c483 c407 +SRR12887191 39579 38485 10.0 SRR12887198 0.998689 c599 c549 c484 c3 0.997674 +ERR9980917 36385 32175 5.0 ERR9980919 0.996802 c600 c550 c485 c408 +SRR14705966 38348 36507 11.0 SRR32491103 0.997604 c601 c551 c486 c409 +SRR23387524 41817 39015 9.0 SRR23498602 0.997961 c602 c552 c487 c410 +DRR413376 41771 40930 10.0 DRR893807 0.999666 c603 c10 c8 c9 0.999565 0.999294 0.998554 +SRR14119018 43128 41136 9.0 SRR14119023 0.999372 c604 c553 c5 c6 0.998734 0.997677 +ERR2660280 7186 5677 68.0 ERR2660277 0.996283 c605 c554 c488 c411 +ERR5060402 36399 32397 5.0 SRR12887168 0.997017 c606 c555 c489 c412 +SRR9993989 40369 38228 6.0 SRR9989235 0.998966 c607 c556 c490 c37 0.998966 +SRR6384789 31566 23894 4.0 SRR36642582 0.994018 c608 c557 c491 c413 +ERR9883099 36180 32238 5.0 SRR12887211 0.997916 c609 c558 c492 c414 +SRR40320343 42175 41155 10.0 SRR40320353 0.999700 c610 c13 c7 c7 0.999534 0.998932 0.998304 +ERR4832459 36872 32497 5.0 SRR36642583 0.997592 c611 c559 c493 c415 +SRR18092209 37981 35326 6.0 DRR445890 0.998766 c612 c560 c494 c2 0.997461 +SRR6669190 39755 38111 9.0 SRR6669188 0.999479 c613 c561 c34 c4 0.999479 0.997877 +ERR12645163 36479 33473 5.0 SRR11528300 0.998023 c614 c562 c495 c416 +ERR9861102 21978 12466 3.0 SRR10271354 0.985849 c615 c563 c496 c417 +SRR12887201 39930 38572 9.0 SRR12887215 0.999256 c616 c564 c26 c3 0.999256 0.997674 +ERR9980898 36691 32743 5.0 ERR9980895 0.997078 c617 c565 c497 c418 +SRR14705980 39559 38323 11.0 SRR14705991 0.998931 c618 c566 c498 c40 0.998931 +SRR23567522 44937 40857 8.0 DRR893804 0.995532 c619 c567 c499 c419 +DRR413360 39841 36666 14.0 SRR24675055 0.996770 c620 c568 c500 c420 +SRR3624698 41777 40595 8.0 SRR3624706 0.999582 c621 c8 c5 c6 0.999530 0.998734 0.997677 +ERR14370172 31548 23761 3.0 SRR12887198 0.994755 c622 c569 c501 c421 +ERR5060408 36587 32390 5.0 SRR12887215 0.997569 c623 c570 c502 c422 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/rhizopus_arrhizus.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/rhizopus_arrhizus.clones.tsv new file mode 100644 index 00000000..c386d787 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/rhizopus_arrhizus.clones.tsv @@ -0,0 +1,202 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR975137 36828 29062 5.0 SRR1009239 0.995923 c1 c17 c35 c28 +SRR1009174 41056 32120 4.0 SRR16108677 0.994377 c2 c18 c36 c29 +SRR1009239 37026 28963 5.0 SRR975137 0.995923 c3 c19 c37 c30 +SRR975171 36709 28503 4.0 SRR11788091 0.995905 c4 c20 c38 c31 +SRR975139 37365 27791 4.0 SRR11788083 0.994798 c5 c21 c39 c32 +SRR975140 36126 28175 4.0 SRR11788062 0.996306 c6 c22 c40 c33 +SRR12439786 40844 37600 8.0 SRR9029845 0.997811 c7 c23 c41 c34 +SRR975156 36552 33984 6.0 SRR12272724 0.998102 c8 c24 c42 c35 +SRR38428941 36399 33908 6.0 SRR12278004 0.998850 c9 c25 c43 c12 0.998837 +SRR969291 38039 31026 5.0 SRR11788083 0.996477 c10 c26 c44 c36 +SRR11788096 36983 35756 10.0 SRR12278003 0.999567 c11 c6 c1 c1 0.999567 0.998651 0.997219 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38684 37363 9.0 SRR11788073 0.999180 c25 c40 c22 c20 0.999180 0.999180 +SRR25224698 28728 20754 15.0 SRR25224728 0.903817 c26 c41 c51 c41 +SRR8485190 37436 35175 9.0 SRR12277049 0.998894 c27 c42 c52 c21 0.998894 +SRR9650570 39260 37361 8.0 SRR9029840 0.999111 c28 c43 c7 c2 0.998983 0.997971 +SRR11788095 38644 36667 9.0 SRR12334051 0.999464 c29 c44 c8 c4 0.999321 0.997827 +SRR23350462 39636 33192 6.0 SRR12272621 0.994684 c30 c45 c53 c42 +SRR11788098 58139 50613 5.0 SRR11788103 0.986744 c31 c46 c54 c43 +SRR9029060 38942 37194 8.0 SRR12354434 0.998900 c32 c47 c55 c1 0.997219 +SRR11788097 38849 36855 9.0 SRR11788090 0.999221 c33 c48 c23 c8 0.999221 0.998274 +SRR9650544 37520 36443 9.0 SRR9712530 0.999515 c34 c7 c1 c1 0.999515 0.998651 0.997219 +SRR9650592 38017 37099 9.0 SRR12277932 0.995673 c35 c49 c56 c44 +SRR12278002 40348 38922 8.0 SRR9029551 0.997473 c36 c50 c57 c45 +SRR12278006 37417 36270 9.0 SRR9650551 0.999623 c37 c2 c1 c1 0.999551 0.998651 0.997219 +SRR25224700 58156 49328 5.0 SRR11788081 0.988564 c38 c51 c58 c46 +SRR12277396 38265 36542 9.0 SRR12334051 0.999482 c39 c52 c8 c4 0.999321 0.997827 +SRR25224701 41602 35771 6.0 SRR23350460 0.994692 c40 c53 c59 c47 +SRR9720209 38920 36870 9.0 SRR11788052 0.999467 c41 c54 c9 c7 0.999322 0.998037 +SRR12272498 38579 37309 9.0 SRR11788063 0.999293 c42 c55 c10 c13 0.999173 0.999173 +SRR25224729 40646 35886 7.0 SRR11788094 0.995936 c43 c56 c60 c48 +SRR23350471 40122 36263 8.0 SRR12277945 0.985054 c44 c57 c61 c49 +SRR12269333 39044 37795 9.0 SRR12274632 0.999475 c45 c58 c18 c1 0.999475 0.997219 +SRR9712530 37626 36319 9.0 SRR9650544 0.999515 c46 c7 c1 c1 0.999515 0.998651 0.997219 +SRR9720333 39268 37320 8.0 SRR11788075 0.999353 c47 c59 c24 c2 0.999353 0.997971 +SRR12273142 37579 36458 9.0 SRR12278006 0.999588 c48 c2 c1 c1 0.999551 0.998651 0.997219 +SRR12354677 38654 37284 8.0 SRR12277946 0.999517 c49 c8 c3 c3 0.999517 0.998960 0.998309 +SRR9029062 42546 40409 8.0 SRR9028813 0.994079 c50 c60 c62 c50 +SRR12277047 39177 38074 9.0 SRR12277053 0.999630 c51 c1 c2 c2 0.999444 0.999036 0.997971 +SRR9720299 38194 36508 9.0 SRR9650551 0.999489 c52 c61 c1 c1 0.998651 0.997219 +SRR9027887 24734 23792 16.0 SRR12951053 0.985916 c53 c62 c63 c51 +SRR12951053 39745 38528 10.0 SRR9027887 0.985916 c54 c63 c64 c52 +SRR12272724 37989 36886 9.0 SRR9720311 0.999616 c55 c9 c5 c4 0.999616 0.999103 0.997827 +SRR9720377 64615 56072 5.0 SRR9720300 0.996202 c56 c64 c65 c53 +SRR12274947 37563 36404 9.0 SRR12278006 0.999455 c57 c65 c1 c1 0.998651 0.997219 +SRR12268523 39083 37488 9.0 SRR11788092 0.999436 c58 c66 c21 c19 0.999436 0.999436 +SRR11788066 37393 36108 9.0 SRR12274376 0.999575 c59 c3 c1 c1 0.999559 0.998651 0.997219 +SRR25224699 41714 36868 7.0 SRR11788103 0.996406 c60 c67 c66 c54 +SRR16016946 20789 13160 3.0 SRR9029551 0.962541 c61 c68 c67 c55 +SRR8485431 38696 37048 8.0 SRR12277073 0.999412 c62 c69 c3 c3 0.998960 0.998309 +SRR9720376 38149 36389 9.0 SRR9650544 0.999493 c63 c70 c1 c1 0.998651 0.997219 +SRR9720311 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31.0 SRR36450681 0.999256 c211 c148 c1 c2 0.998578 0.997837 +SRR9003266 12092 11411 17.0 SRR9003265 0.999251 c212 c149 c31 c8 0.999251 0.997966 +SRR36450570 13756 11416 32.0 SRR36450664 0.999987 c35 c14 c1 c2 0.999987 0.999296 0.998578 0.997837 +SRR9003267 12763 11595 19.0 SRR9003246 0.998413 c213 c150 c105 c15 0.997972 +SRR36450606 13976 11496 31.0 SRR36450604 0.999979 c8 c3 c2 c1 0.999975 0.999380 0.998791 0.997589 +SRR9003255 11962 11384 18.0 SRR9003309 0.999642 c214 c17 c1 c2 0.999533 0.998578 0.997837 +SRR36450638 13908 11451 31.0 SRR36450673 0.999212 c215 c151 c1 c2 0.998578 0.997837 +SRR9003268 11979 11438 16.0 SRR9003295 0.998479 c216 c152 c106 c2 0.997837 +SRR36450553 13653 11436 32.0 SRR36450574 0.999990 c11 c13 c1 c2 0.999987 0.999815 0.998578 0.997837 +SRR9003239 12264 11439 18.0 SRR9003280 0.999879 c217 c12 c10 c6 0.999573 0.999573 0.997718 +SRR36450686 13508 11417 33.0 SRR36450566 0.999055 c218 c153 c18 c1 0.999055 0.997589 +SRR9003302 11907 11406 19.0 SRR9003288 0.999190 c219 c154 c11 c4 0.998867 0.998062 +SRR36450584 14284 11488 31.0 SRR36450651 0.999979 c36 c19 c1 c2 0.999979 0.999405 0.998578 0.997837 +SRR9003272 12636 11522 20.0 SRR9003296 0.999865 c220 c15 c1 c2 0.999583 0.998578 0.997837 +SRR36450593 13578 11409 33.0 SRR36450577 0.999996 c3 c7 c4 c1 0.999981 0.999981 0.998902 0.997589 +SRR9003243 12447 11503 18.0 SRR3294507 0.994660 c221 c155 c107 c58 +SRR36450558 13727 11476 32.0 SRR36450626 0.999531 c222 c156 c2 c1 0.998791 0.997589 +SRR36450681 13750 11497 32.0 SRR36450683 0.999844 c223 c6 c1 c2 0.999730 0.998578 0.997837 +SRR36450679 13774 11413 33.0 SRR36450677 0.999992 c3 c7 c4 c1 0.999981 0.999981 0.998902 0.997589 +SRR36450576 13988 11459 33.0 SRR36450677 0.999167 c224 c157 c4 c1 0.998902 0.997589 +SRR36450608 13621 11441 33.0 SRR36450607 0.999992 c27 c5 c2 c1 0.999992 0.999350 0.998791 0.997589 +SRR36450564 13666 11426 33.0 SRR36450604 0.999546 c225 c158 c2 c1 0.998791 0.997589 +SRR36450581 13661 11415 34.0 SRR36450570 0.999615 c226 c14 c1 c2 0.999296 0.998578 0.997837 +SRR36450573 13725 11445 32.0 SRR36450593 0.999992 c3 c7 c4 c1 0.999981 0.999981 0.998902 0.997589 +SRR36450687 13814 11436 32.0 SRR36450672 0.999990 c4 c6 c1 c2 0.999965 0.999730 0.998578 0.997837 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_kudriavzevii.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_kudriavzevii.clones.tsv new file mode 100644 index 00000000..55ee0cda --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_kudriavzevii.clones.tsv @@ -0,0 +1,23 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +ERR12351290 900 823 93.0 ERR12351291 0.980933 c1 c1 c3 c6 +ERR5709886 11385 10831 7.0 SRR7370138 0.998108 c2 c2 c4 c7 +SRR7370136 11868 11454 20.0 SRR7370118 0.998358 c3 c3 c5 c1 0.998280 +SRR7370180 11530 11299 20.0 SRR7370118 0.998992 c4 c4 c6 c1 0.998280 +ERR3141579 11470 11385 23.0 SRR7370180 0.998664 c5 c5 c7 c1 0.998280 +SRR7370138 13301 11439 40.0 ERR5709885 0.999371 c6 c6 c1 c2 0.999371 0.999371 +SRR7370229 13435 11377 59.0 SRR10047016 0.999458 c7 c7 c2 c3 0.999458 0.999458 +SRR10047086 16389 11733 40.0 SRR10047419 0.998058 c8 c8 c8 c8 +ERR12351291 1007 940 82.0 ERR12351290 0.980933 c9 c9 c9 c9 +SRR10046974 13772 11496 33.0 SRR37391886 0.997010 c10 c10 c10 c10 +ERR5709885 11367 10777 7.0 SRR7370138 0.999371 c11 c11 c1 c2 0.999371 0.999371 +ERR3141578 16413 11599 45.0 SRR10046979 0.997123 c12 c12 c11 c11 +ERR9706976 13273 11759 13.0 SRR10047419 0.998306 c13 c13 c12 c4 0.998306 +SRR10047016 12965 11351 17.0 SRR7370229 0.999458 c14 c14 c2 c3 0.999458 0.999458 +SRR10047419 15659 11696 38.0 ERR9706976 0.998306 c15 c15 c13 c4 0.998306 +SRR37391887 13597 11669 29.0 SRR7370138 0.998234 c16 c16 c14 c12 +SRR37391886 12395 11524 33.0 SRR10046974 0.997010 c17 c17 c15 c13 +SRR10046981 11769 11435 20.0 SRR10046983 0.998706 c18 c18 c16 c5 0.998706 +SRR10046983 11807 11373 22.0 SRR10046981 0.998706 c19 c19 c17 c5 0.998706 +SRR10046979 15224 11728 27.0 SRR10046983 0.997827 c20 c20 c18 c14 +SRR7370118 11535 11324 21.0 SRR7370180 0.998992 c21 c21 c19 c1 0.998280 +SRR7370197 13790 11769 22.0 SRR7370180 0.991873 c22 c22 c20 c15 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_mikatae.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_mikatae.clones.tsv new file mode 100644 index 00000000..6894a07a --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_mikatae.clones.tsv @@ -0,0 +1,9 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR37391883 13648 11964 23.0 SRR37391882 0.998619 c1 c2 c3 c1 0.998077 +SRR37391882 13591 11835 28.0 SRR7370190 0.999506 c2 c1 c1 c1 0.999506 0.999506 0.998077 +SRR5106248 9972 8233 4.0 SRR5106252 0.996422 c3 c3 c4 c4 +SRR7370190 14129 11546 62.0 SRR37391882 0.999506 c4 c1 c1 c1 0.999506 0.999506 0.998077 +SRR7370222 13806 10969 46.0 SRR173087 0.999430 c5 c4 c2 c2 0.999430 0.999430 +SRR5106255 11604 10895 8.0 SRR5106252 0.998872 c6 c5 c5 c3 0.998872 +SRR5106252 11454 10834 8.0 SRR5106255 0.998872 c7 c6 c6 c3 0.998872 +SRR173087 12012 11695 15.0 SRR7370222 0.999430 c8 c7 c2 c2 0.999430 0.999430 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_paradoxus.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_paradoxus.clones.tsv new file mode 100644 index 00000000..3783978a --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/saccharomyces_paradoxus.clones.tsv @@ -0,0 +1,300 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR4351083 14170 13416 32.0 SRR4453415 0.995876 c26 c27 c33 c28 +SRR12697987 13418 11660 33.0 SRR12697959 0.999955 c5 c1 c1 c1 0.999902 0.999409 0.998567 0.997593 +SRR4452991 12719 11465 27.0 SRR4451757 0.999988 c2 c2 c2 c5 0.999876 0.999519 0.999519 0.999519 +SRR12698036 16193 11882 29.0 SRR12698056 0.999490 c27 c28 c34 c1 0.997593 +SRR4453488 12955 11496 25.0 SRR4453486 0.999994 c3 c4 c4 c4 0.999853 0.999704 0.998983 0.997371 +SRR7500264 12158 11097 36.0 SRR7500214 0.999692 c28 c12 c7 c8 0.999686 0.998817 0.997985 +SRR12698033 17629 15672 22.0 SRR12697778 0.999699 c29 c13 c14 c10 0.999559 0.999559 0.997920 +SRR4451755 12925 11495 25.0 SRR4451751 0.999979 c2 c2 c2 c5 0.999876 0.999519 0.999519 0.999519 +SRR35516018 12635 11567 24.0 SRR35516017 0.999816 c30 c10 c9 c2 0.999449 0.999449 0.997010 +SRR12697904 13780 11623 34.0 SRR12697935 0.999914 c31 c1 c1 c1 0.999409 0.998567 0.997593 +SRR7500212 12258 11265 35.0 SRR7500216 0.999989 c8 c14 c15 c14 0.999966 0.999966 0.999966 0.998118 +SRR35516017 12363 11504 27.0 SRR35516018 0.999816 c32 c10 c9 c2 0.999449 0.999449 0.997010 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SRR1868775 0.997471 c39 c35 c38 c29 +SRR17688644 12189 11449 35.0 SRR17688645 0.999839 c40 c7 c5 c3 0.999710 0.998538 0.997446 +SRR12033522 16859 15291 15.0 SRR12033509 0.998871 c41 c36 c39 c12 0.998161 +SRR29190890 12949 11507 31.0 SRR29190808 0.999988 c1 c3 c3 c2 0.999948 0.999605 0.999605 0.997010 +SRR39340206 16595 11610 28.0 SRR39340210 0.998116 c42 c37 c40 c23 0.998116 +SRR4074411 13815 11440 35.0 SRR37391881 0.999838 c43 c18 c22 c24 0.999838 0.999838 0.999838 +ERR049933 13110 11506 17.0 SRR7370234 0.998521 c44 c38 c41 c16 0.998084 +SRR5106261 11448 11128 9.0 SRR7500226 0.999705 c45 c6 c6 c2 0.999465 0.999009 0.997010 +ERR1610945 11703 11384 24.0 SRR4074394 0.999593 c46 c19 c23 c3 0.999593 0.999593 0.997446 +ERR1938685 4559 3873 59.0 ERR1938684 0.982850 c47 c39 c42 c30 +ERR14050371 13137 11660 22.0 SRR7500208 0.998399 c48 c40 c43 c22 0.998399 +SRR37391881 13140 11550 32.0 SRR4074411 0.999838 c49 c18 c22 c24 0.999838 0.999838 0.999838 +SRR7232020 7092 6683 41.0 ERR1610945 0.987575 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15.0 SRR5520337 0.999907 c1 c1 c1 c1 0.999907 0.999907 0.999907 0.999907 +SRR5520337 31658 30868 15.0 SRR5520336 0.999907 c1 c1 c1 c1 0.999907 0.999907 0.999907 0.999907 +SRR5520340 30914 29895 15.0 SRR5520338 0.984801 c3 c3 c3 c3 +SRR5520339 32795 31623 14.0 SRR5520336 0.995246 c4 c4 c4 c4 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/trichoderma_afroharzianum.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/trichoderma_afroharzianum.clones.tsv new file mode 100644 index 00000000..46d901e2 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/trichoderma_afroharzianum.clones.tsv @@ -0,0 +1,6 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +ERR16958202 38444 34908 6.0 SRR26073313 0.984976 c2 c2 c2 c2 +SRR37840622 42208 39640 12.0 SRR37840625 0.992026 c3 c3 c3 c3 +SRR37840625 39539 36940 15.0 SRR26073313 0.998853 c4 c4 c4 c1 0.998853 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@@ -0,0 +1,6 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +DRR032594 64028 42732 12.0 SRR11059921 0.989992 c1 c1 c1 c1 +SRR23696949 69511 57555 13.0 DRR032594 0.756441 c2 c2 c2 c2 +SRR11059921 37414 36484 12.0 DRR032594 0.989992 c3 c3 c3 c3 +SRR3193266 33484 29161 5.0 SRR3195199 0.992377 c4 c4 c4 c4 +SRR3195199 28731 21698 4.0 SRR3193266 0.992377 c5 c5 c5 c5 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/trichoderma_harzianum.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/trichoderma_harzianum.clones.tsv new file mode 100644 index 00000000..fcf1c631 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/trichoderma_harzianum.clones.tsv @@ -0,0 +1,15 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR26638390 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0.998492 +SRR21907848 34264 33043 13.0 SRR21907989 0.999917 c1 c1 c1 c1 0.999881 0.999353 0.998502 0.996832 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/verticillium_nonalfalfae.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/verticillium_nonalfalfae.clones.tsv new file mode 100644 index 00000000..6c9f54a8 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/verticillium_nonalfalfae.clones.tsv @@ -0,0 +1,13 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR7945103 28101 23378 5.0 SRR41192514 0.994524 c1 c1 c4 c2 +SRR8271217 29783 24278 4.0 SRR41192514 0.996326 c2 c2 c5 c3 +SRR8271219 30431 25711 4.0 SRR41192514 0.996867 c3 c3 c6 c4 +SRR2012723 35318 32937 10.0 SRR2013863 0.999287 c4 c4 c1 c1 0.999210 0.998054 +SRR2012749 33083 31844 8.0 SRR2013835 0.998900 c5 c5 c7 c1 0.998054 +SRR2013806 35526 33115 9.0 SRR2013863 0.999296 c6 c6 c1 c1 0.999210 0.998054 +SRR2013835 34829 32446 10.0 SRR2013836 0.999213 c7 c7 c2 c1 0.999213 0.998054 +SRR8271218 27950 19618 3.0 SRR41192514 0.993327 c8 c8 c8 c5 +SRR2013863 35314 32914 10.0 SRR2013806 0.999296 c9 c9 c1 c1 0.999210 0.998054 +SRR2013836 35208 32504 10.0 SRR2013835 0.999213 c10 c10 c2 c1 0.999213 0.998054 +SRR41192513 36268 33767 12.0 SRR41192514 0.999294 c11 c11 c3 c1 0.999294 0.998054 +SRR41192514 35973 33195 13.0 SRR41192513 0.999294 c12 c12 c3 c1 0.999294 0.998054 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/williopsis_jadinii.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/williopsis_jadinii.clones.tsv new file mode 100644 index 00000000..de6231d0 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/williopsis_jadinii.clones.tsv @@ -0,0 +1,30 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +ERR14883965 15697 12086 18.0 SRR16988951 0.786649 c2 c5 c7 c6 +DRR295043 24983 16703 30.0 SRR32943300 0.999181 c3 c6 c8 c1 0.997861 +SRR30641671 20958 14990 50.0 SRR32943313 0.999571 c4 c1 c3 c3 0.999571 0.999571 0.998194 +SRR32943304 24370 16479 34.0 SRR427160 0.999708 c5 c2 c4 c4 0.999708 0.999708 0.998360 +SRR32943300 23026 16113 31.0 SRR32943306 0.999645 c6 c3 c1 c1 0.999645 0.998954 0.997861 +SRR32943302 27373 16404 23.0 SRR34056357 0.999183 c7 c7 c5 c2 0.999183 0.997963 +SRR32943301 25012 16318 30.0 SRR32943305 0.997324 c8 c8 c9 c7 +SRR427160 18455 16080 23.0 SRR32943304 0.999708 c9 c2 c4 c4 0.999708 0.999708 0.998360 +SRR30641670 17994 15572 26.0 SRR32943300 0.999561 c10 c9 c1 c1 0.998954 0.997861 +DRR1032328 15734 14884 32.0 SRR34056357 0.997756 c11 c10 c10 c8 +SRR16988951 26603 17536 20.0 SRR32943304 0.998778 c12 c11 c11 c4 0.998360 +DRR321687 15928 15083 30.0 SRR32943299 0.998982 c13 c12 c12 c1 0.997861 +SRR33116121 17199 15155 16.0 SRR32943301 0.991859 c14 c13 c13 c9 +SRR32943303 19381 15943 45.0 SRR32943311 0.999063 c15 c14 c6 c2 0.999063 0.997963 +SRR32943310 24841 15429 33.0 SRR32943300 0.998388 c16 c15 c14 c3 0.998194 +SRR32943299 25244 15913 26.5 SRR32943300 0.999289 c17 c16 c1 c1 0.998954 0.997861 +SRR32943313 25737 15456 25.0 SRR30641671 0.999571 c18 c1 c3 c3 0.999571 0.999571 0.998194 +SRR32943297 25956 15838 24.0 SRR34056357 0.998200 c19 c17 c15 c2 0.997963 +SRR32943295 25076 14837 29.0 SRR32943296 0.997862 c20 c18 c16 c10 +SRR32943296 23793 15295 33.0 SRR32943295 0.997862 c21 c19 c17 c11 +SRR32943312 24999 15348 32.0 SRR32943300 0.998083 c22 c20 c18 c12 +SRR32943298 24633 15207 32.0 SRR32943310 0.998183 c23 c21 c19 c13 +SRR32943306 26571 16326 24.0 SRR32943300 0.999645 c24 c3 c1 c1 0.999645 0.998954 0.997861 +SRR32943305 24198 15691 32.0 SRR32943301 0.997324 c25 c22 c20 c14 +SRR32943311 24771 15984 29.0 SRR32943303 0.999063 c26 c23 c6 c2 0.999063 0.997963 +SRR32943308 22646 14285 36.0 SRR32943309 0.999030 c27 c24 c2 c5 0.998971 0.998971 +SRR34056357 25525 16399 25.0 SRR32943302 0.999183 c28 c25 c5 c2 0.999183 0.997963 +SRR32943307 22807 14879 32.0 SRR32943309 0.999917 c1 c4 c2 c5 0.999917 0.999917 0.998971 0.998971 +SRR32943309 23489 14934 30.0 SRR32943307 0.999917 c1 c4 c2 c5 0.999917 0.999917 0.998971 0.998971 diff --git a/datasets/reads/sra_survey/pilot/clone_solid/yarrowia_lipolytica.clones.tsv b/datasets/reads/sra_survey/pilot/clone_solid/yarrowia_lipolytica.clones.tsv new file mode 100644 index 00000000..d53bab95 --- /dev/null +++ b/datasets/reads/sra_survey/pilot/clone_solid/yarrowia_lipolytica.clones.tsv @@ -0,0 +1,383 @@ +run hashes solid_hashes median_abund nearest_run nearest_ani clone_0.9999 clone_0.9995 clone_0.999 clone_0.998 min_ani_0.9999 min_ani_0.9995 min_ani_0.999 min_ani_0.998 +SRR37084744 23476 20346 17.0 SRR39055406 0.998152 c15 c11 c16 c2 0.997757 +SRR5947290 20181 19972 13.0 SRR5947291 0.999975 c5 c1 c1 c1 0.999893 0.999208 0.998929 0.997343 +ERR2767094 25189 21680 9.0 SRR32805562 0.997707 c16 c12 c17 c22 +ERR5235104 19998 18738 6.0 SRR6475361 0.998894 c17 c13 c18 c6 0.997784 +SRR36945586 20039 15934 4.0 SRR36945588 0.995227 c18 c14 c19 c23 +ERR5235114 20083 19079 6.0 SRR23619098 0.998852 c19 c15 c20 c5 0.997344 +SRR35982497 20906 20085 22.0 SRR35907299 0.999948 c4 c1 c1 c1 0.999878 0.999208 0.998929 0.997343 +SRR26275660 21517 20196 20.0 SRR23619108 0.998284 c20 c16 c21 c24 +SRR21430003 21579 20117 22.0 SRR23619108 0.997837 c21 c17 c22 c25 +SRR14045616 21621 20107 21.0 SRR14045614 0.999951 c7 c1 c1 c1 0.999888 0.999208 0.998929 0.997343 +SRR7148851 20253 20035 12.0 SRR7148322 0.999906 c22 c1 c1 c1 0.999208 0.998929 0.997343 +SRR34720070 21716 20051 28.0 SRR34720083 0.999989 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR3724507 29999 20865 22.0 ERR5235156 0.998902 c23 c18 c23 c15 0.998902 +SRR2416211 19736 18062 6.0 SRR5947287 0.998851 c24 c19 c24 c1 0.997343 +SRR39055403 22628 20053 35.0 SRR34720083 0.999999 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR6820826 21288 18792 20.0 SRR32805562 0.999195 c25 c20 c25 c3 0.997437 +SRR6820827 20947 18607 18.0 SRR25445415 0.999297 c26 c21 c1 c1 0.998929 0.997343 +SRR6820828 21245 18710 21.0 SRR32805565 0.999346 c27 c22 c7 c3 0.999017 0.997437 +SRR37084752 25694 22273 14.0 SRR37084788 0.998391 c28 c23 c26 c10 0.997863 +SRR37084759 22781 20236 19.0 SRR37084781 0.998672 c29 c24 c27 c3 0.997437 +SRR6475361 20340 19962 13.0 ERR5235104 0.998894 c30 c25 c28 c6 0.997784 +SRR37084774 23248 20702 15.0 SRR37084777 0.999508 c31 c6 c10 c5 0.999508 0.999508 0.997344 +SRR25445420 22056 19985 14.0 SRR25445419 0.999746 c32 c1 c1 c1 0.999208 0.998929 0.997343 +SRR37084749 23416 20403 17.0 SRR37084781 0.999553 c33 c3 c3 c3 0.999492 0.998486 0.997437 +SRR10898398 24379 20155 38.0 SRR14045613 0.999963 c10 c1 c1 c1 0.999963 0.999208 0.998929 0.997343 +SRR37084772 23989 20486 17.0 SRR23619108 0.997568 c34 c26 c29 c26 +SRR6977243 20351 19974 10.0 SRR6977422 0.999822 c35 c1 c1 c1 0.999208 0.998929 0.997343 +SRR37084781 22927 20209 19.0 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SRR37084755 0.998738 c114 c36 c38 c4 0.997231 +SRR16988987 23201 20698 17.0 ERR5235123 0.998914 c115 c37 c39 c6 0.997784 +SRR37084743 23822 20878 16.0 SRR37084791 0.999397 c116 c38 c3 c3 0.998486 0.997437 +ERR5235152 20732 19867 10.0 ERR5235158 0.999471 c117 c39 c5 c4 0.998972 0.997231 +SRR34720083 22672 20037 34.0 SRR34720072 1.000000 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR35796898 21410 20100 20.0 SRR35982333 0.999948 c8 c1 c1 c1 0.999902 0.999208 0.998929 0.997343 +SRR23619110 21178 20161 22.0 SRR23619098 0.998075 c118 c40 c40 c33 +SRR32805563 22351 20081 34.0 SRR23619108 0.998308 c119 c41 c41 c34 +SRR14045614 20601 20095 20.0 SRR14045616 0.999951 c7 c1 c1 c1 0.999888 0.999208 0.998929 0.997343 +SRR14663212 20769 20237 12.0 SRR10898398 0.999766 c120 c1 c1 c1 0.999208 0.998929 0.997343 +SRR25445415 21200 20029 22.0 SRR25445416 0.999981 c3 c1 c1 c1 0.999854 0.999208 0.998929 0.997343 +SRR36945587 17689 12964 4.0 SRR36945588 0.992246 c121 c42 c42 c35 +SRR8305684 21191 20298 12.0 SRR37084753 0.997785 c122 c43 c43 c36 +SRR21390329 24646 19384 17.0 SRR21390328 0.999552 c123 c44 c1 c1 0.998929 0.997343 +SRR37084796 25144 21894 16.0 SRR37084770 0.997703 c124 c45 c44 c37 +ERR5235109 19907 18761 6.0 ERR5235110 0.997892 c125 c46 c45 c38 +SRR34720066 22583 20036 35.0 SRR34720083 0.999999 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR35796890 21935 20122 20.0 SRR35796891 0.999912 c13 c1 c1 c1 0.999903 0.999208 0.998929 0.997343 +SRR23619099 13207 12084 37.0 SRR23619100 0.734150 c126 c47 c46 c39 +SRR32805562 22535 20043 36.0 SRR27547032 0.999765 c127 c4 c3 c3 0.999438 0.998486 0.997437 +SRR14045615 21743 20354 18.0 SRR14045612 0.999867 c128 c1 c1 c1 0.999208 0.998929 0.997343 +SRR14663210 20867 20249 12.0 SRR14663213 0.999779 c129 c1 c1 c1 0.999208 0.998929 0.997343 +SRR25445419 21450 20068 21.0 SRR25445416 0.999974 c3 c1 c1 c1 0.999854 0.999208 0.998929 0.997343 +SRR37084791 23567 20334 17.0 SRR37084792 0.999742 c130 c3 c3 c3 0.999492 0.998486 0.997437 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21363 20096 19.0 SRR35796898 0.999944 c8 c1 c1 c1 0.999902 0.999208 0.998929 0.997343 +SRR23619102 21035 20042 22.0 SRR32805564 0.999920 c14 c5 c4 c7 0.999920 0.999575 0.998813 0.998479 +SRR32805560 22734 20107 34.0 SRR32805561 0.998974 c135 c51 c50 c2 0.997757 +SRR14045612 21769 20197 20.0 SRR14045616 0.999941 c7 c1 c1 c1 0.999888 0.999208 0.998929 0.997343 +SRR37084751 24678 21446 16.0 SRR37084800 0.998851 c136 c52 c51 c16 0.998851 +ERR5235144 20566 19693 10.0 SRR37084804 0.998701 c137 c53 c52 c17 0.998192 +SRR34720084 22600 20030 34.0 SRR39055402 0.999999 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR35796896 21387 20098 19.0 SRR35796898 0.999929 c8 c1 c1 c1 0.999902 0.999208 0.998929 0.997343 +SRR23619108 22132 20574 21.0 SRR23619107 0.999146 c138 c54 c13 c2 0.999146 0.997757 +SRR32805561 22502 20073 34.0 SRR32805560 0.998974 c139 c55 c53 c2 0.997757 +SRR37084760 23479 20305 17.0 SRR37084747 0.999714 c140 c3 c3 c3 0.999492 0.998486 0.997437 +ERR5235133 20111 19066 6.0 SRR32805564 0.999577 c141 c5 c4 c7 0.999575 0.998813 0.998479 +SRR34720080 24001 20062 32.0 SRR34720078 0.999993 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR35796893 21928 20131 19.0 SRR35796898 0.999917 c8 c1 c1 c1 0.999902 0.999208 0.998929 0.997343 +SRR23619109 25975 20724 19.0 SRR23619102 0.999223 c142 c56 c54 c7 0.998479 +SRR37084794 23372 20436 17.0 SRR23619106 0.998520 c143 c57 c55 c5 0.997344 +ERR5235111 19981 19034 7.0 ERR5235138 0.999262 c144 c58 c14 c18 0.999262 0.999262 +SRR34720074 22262 20038 36.0 SRR34720071 0.999998 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR35796897 22212 20150 18.0 SRR35796890 0.999892 c145 c1 c1 c1 0.999208 0.998929 0.997343 +SRR23619101 33536 32372 11.0 SRR23619102 0.987800 c146 c59 c56 c43 +SRR37084803 22947 20402 17.0 SRR37084801 0.998468 c147 c60 c57 c6 0.997784 +ERR5235108 19842 18495 6.0 SRR37084748 0.997910 c148 c61 c58 c44 +SRR39055401 22383 20047 36.0 SRR39055406 1.000000 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR35796892 21872 20192 18.0 SRR35796894 0.999875 c149 c1 c1 c1 0.999208 0.998929 0.997343 +SRR23619100 35513 33181 9.0 SRR23619107 0.988704 c150 c62 c59 c45 +SRR37084761 24313 20624 18.0 SRR37084760 0.999430 c151 c63 c3 c3 0.998486 0.997437 +ERR5235124 20041 18775 6.0 ERR5235119 0.998888 c152 c64 c60 c12 0.998453 +SRR39055410 20482 20036 22.0 SRR39055409 0.999996 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR35796889 21831 20130 20.0 SRR35796898 0.999912 c153 c1 c1 c1 0.999208 0.998929 0.997343 +SRR23619107 24780 20302 20.0 SRR23619108 0.999146 c154 c65 c13 c2 0.999146 0.997757 +SRR37084788 25014 21754 15.0 SRR37084786 0.998408 c155 c66 c61 c10 0.997863 +ERR5235147 20729 19690 10.0 ERR5235152 0.999428 c156 c67 c5 c4 0.998972 0.997231 +SRR34720072 22108 20036 33.0 SRR34720083 1.000000 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084746 25029 21117 16.0 SRR37084791 0.999108 c157 c68 c62 c3 0.997437 +ERR5235118 20647 19789 11.0 SRR32805562 0.998239 c158 c69 c63 c19 0.998182 +SRR39055408 20515 20025 22.0 SRR39055409 0.999998 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084762 24831 21326 13.0 SRR37084768 0.999009 c159 c70 c15 c1 0.999009 0.997343 +ERR5235159 21054 19912 10.0 SRR32805562 0.999593 c160 c4 c3 c3 0.999438 0.998486 0.997437 +SRR39055405 22646 20036 35.0 SRR34720083 1.000000 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084763 24984 21674 16.0 SRR37084758 0.999108 c161 c71 c6 c8 0.998963 0.997764 +ERR5235131 19972 18850 6.0 ERR5235103 0.997840 c162 c72 c64 c46 +SRR39055406 22309 20046 36.0 SRR39055402 1.000000 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084792 23393 20316 17.0 SRR37084791 0.999742 c163 c3 c3 c3 0.999492 0.998486 0.997437 +ERR5235106 19981 18615 6.0 SRR37084755 0.998937 c164 c73 c65 c4 0.997231 +SRR34720069 22237 20032 37.0 SRR34720086 0.999998 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084804 23744 20882 15.0 SRR37084787 0.998795 c165 c74 c66 c13 0.998206 +ERR5235132 20174 18844 6.0 SRR23619098 0.998890 c166 c75 c67 c5 0.997344 +SRR39055409 20497 20021 22.0 SRR39055408 0.999998 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084741 23191 20698 16.0 SRR37084753 0.999503 c167 c9 c8 c9 0.999503 0.999100 0.998310 +ERR5235155 20627 19667 11.0 SRR5947287 0.999643 c168 c1 c1 c1 0.999208 0.998929 0.997343 +SRR34720073 24099 20075 32.0 SRR34720078 0.999995 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084787 25047 21680 15.0 SRR37084804 0.998795 c169 c76 c68 c13 0.998206 +ERR5235115 20055 19020 6.0 SRR32805562 0.999491 c170 c77 c3 c3 0.998486 0.997437 +SRR34720071 22388 20040 36.0 SRR34720072 0.999998 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084785 25090 21629 14.0 ERR5235138 0.997795 c171 c78 c69 c47 +ERR5235123 20620 19666 10.0 ERR5235137 0.998950 c172 c79 c70 c6 0.997784 +SRR34720077 24231 20094 32.0 SRR34720076 0.999989 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084780 23767 20368 17.0 SRR37084791 0.999696 c173 c3 c3 c3 0.999492 0.998486 0.997437 +ERR5235130 20048 19087 7.0 SRR32805565 0.999008 c174 c80 c71 c3 0.997437 +SRR34720082 22466 20037 34.0 SRR39055402 0.999999 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084768 24380 21155 15.0 SRR37084762 0.999009 c175 c81 c15 c1 0.999009 0.997343 +ERR5235156 20670 19703 10.0 SRR3724507 0.998902 c176 c82 c72 c15 0.998902 +SRR34720067 22571 20029 34.0 SRR34720083 0.999999 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084771 23366 20654 16.0 SRR37084758 0.998504 c177 c83 c73 c8 0.997764 +ERR5235158 20669 19727 10.0 ERR5235152 0.999471 c178 c84 c5 c4 0.998972 0.997231 +SRR39055407 20440 20031 22.0 SRR39055409 0.999996 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084750 24648 21179 17.0 SRR37084748 0.997839 c179 c85 c74 c48 +ERR5235154 20971 16891 4.0 SRR37084802 0.992751 c180 c86 c75 c49 +SRR34720076 24237 20080 31.0 SRR34720077 0.999989 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084800 24889 21516 16.0 SRR37084751 0.998851 c181 c87 c76 c16 0.998851 +ERR5235117 19909 18577 6.0 SRR32805562 0.999207 c182 c88 c77 c3 0.997437 +SRR34720075 23890 20071 30.0 SRR34720073 0.999982 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084776 24025 20845 16.0 SRR23619106 0.998654 c183 c89 c78 c5 0.997344 +ERR5235140 19883 18524 7.0 ERR5235101 0.998616 c184 c90 c79 c11 0.998434 +SRR39055404 22134 20038 36.0 SRR39055405 0.999999 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084748 23317 20286 18.0 SRR37084754 0.999514 c185 c10 c9 c14 0.999514 0.999046 0.999046 +ERR5235121 19947 18080 5.0 ERR5235124 0.998464 c186 c91 c80 c12 0.998453 +SRR34720079 24090 20066 32.0 SRR34720073 0.999994 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084789 25099 21802 15.0 SRR37290507 0.998222 c187 c92 c81 c20 0.998222 +ERR5235107 19942 18721 6.0 SRR32805562 0.999324 c188 c93 c82 c3 0.997437 +SRR34720078 24122 20064 32.0 SRR34720073 0.999995 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084756 24201 20957 16.0 SRR37084747 0.999309 c189 c94 c3 c3 0.998486 0.997437 +ERR5235125 20059 18766 6.0 SRR23619108 0.997229 c190 c95 c83 c50 +SRR34720068 22477 20035 35.0 SRR34720082 0.999998 c2 c2 c2 c2 0.999934 0.999934 0.999934 0.997757 +SRR37084798 23858 20918 15.0 SRR37084755 0.999107 c191 c96 c84 c4 0.997231 +ERR5235116 20071 18880 6.0 SRR32805562 0.998918 c192 c97 c85 c3 0.997437 +SRR37084742 26046 23827 11.0 SRR37084770 0.997532 c193 c98 c86 c51 +ERR5235146 19192 16197 5.0 ERR5235148 0.996389 c194 c99 c87 c52 +SRR37084765 24114 20550 17.0 SRR37084758 0.999498 c195 c100 c6 c8 0.998963 0.997764 +ERR5235102 20065 18945 6.0 SRR23619110 0.997717 c196 c101 c88 c53 +SRR37290507 24545 21341 14.0 SRR37084789 0.998222 c197 c102 c89 c20 0.998222 +ERR5235119 20037 18811 6.0 ERR5235124 0.998888 c198 c103 c90 c12 0.998453 +SRR37084777 23007 20328 17.0 SRR37084774 0.999508 c199 c6 c10 c5 0.999508 0.999508 0.997344 +ERR5235143 20014 19058 7.0 SRR32805562 0.999357 c200 c104 c91 c3 0.997437 +SRR37084766 24568 20727 17.0 SRR37084799 0.997487 c201 c105 c92 c54 +ERR5235135 19804 18898 7.0 SRR37084806 0.997970 c202 c106 c93 c55 +SRR37084755 23395 20346 17.0 SRR37084773 0.999364 c203 c107 c11 c4 0.999364 0.997231 +ERR5235138 20537 19678 11.0 ERR5235111 0.999262 c204 c108 c14 c18 0.999262 0.999262 +SRR37084758 24379 20608 17.0 SRR37084765 0.999498 c205 c109 c6 c8 0.998963 0.997764 +ERR5235128 20013 18729 6.0 SRR23619108 0.997530 c206 c110 c94 c56 +SRR37084797 25589 22484 15.0 SRR37084795 0.998265 c207 c111 c95 c21 0.998265 +ERR5235141 19970 19088 7.0 ERR5235103 0.997978 c208 c112 c96 c57 +SRR37084770 25074 21693 13.0 SRR37084775 0.998057 c209 c113 c97 c58 +ERR5235100 20011 18823 6.0 SRR37084753 0.998972 c210 c114 c98 c9 0.998310 +SRR37084769 23861 20470 17.0 SRR23619108 0.997368 c211 c115 c99 c59 +ERR5235137 19957 19167 7.0 ERR5235123 0.998950 c212 c116 c100 c6 0.997784 +SRR37084795 24608 21265 16.0 SRR23619106 0.998289 c213 c117 c101 c21 0.998265 +ERR5235103 19952 18940 6.0 ERR5235118 0.998182 c214 c118 c102 c19 0.998182 +SRR37084754 23449 20661 16.0 SRR37084748 0.999514 c215 c10 c9 c14 0.999514 0.999046 0.999046 +ERR5235127 20103 19191 7.0 SRR32805564 0.999571 c216 c119 c4 c7 0.998813 0.998479 +SRR37084790 24447 21128 16.0 SRR37084748 0.999174 c217 c120 c9 c14 0.999046 0.999046 +ERR5235105 20022 18932 6.0 SRR5947291 0.999531 c218 c121 c1 c1 0.998929 0.997343 +SRR37084764 24807 21544 16.0 SRR37084758 0.999162 c219 c122 c6 c8 0.998963 0.997764 +ERR5235101 19962 18835 6.0 ERR5235120 0.998847 c220 c123 c103 c11 0.998434 +SRR37084801 22097 20307 17.0 SRR16988987 0.998827 c221 c124 c104 c6 0.997784 +ERR5235150 20064 18912 6.0 ERR5235152 0.999122 c222 c125 c5 c4 0.998972 0.997231 +SRR37084783 24178 21010 14.0 SRR37084753 0.999319 c223 c126 c8 c9 0.999100 0.998310 +ERR5235148 19915 19130 7.0 SRR37084748 0.998635 c224 c127 c105 c17 0.998192 +SRR37084786 24346 21063 16.0 SRR37084788 0.998408 c225 c128 c106 c10 0.997863 +ERR5235157 20399 19449 8.0 SRR32805564 0.997541 c226 c129 c107 c60 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34711 12.0 SRR29196768 0.986599 c587 c546 c519 c504 +SRR10728635 36992 35740 10.0 SRR10728636 0.989455 c588 c547 c520 c505 +ERR13824519 33907 31705 6.0 SRR29196768 0.985951 c589 c548 c521 c506 +SRR4907752 34563 33684 8.0 SRR29196768 0.986610 c590 c549 c522 c507 +SRR21601932 36015 34763 11.0 SRR29197260 0.986511 c591 c550 c523 c508 +SRR30809515 35884 34361 10.0 SRR30809510 0.999411 c592 c551 c3 c3 0.999281 0.999281 +SRR30830189 35756 34547 11.0 SRR30830182 0.986483 c593 c552 c524 c509 +SRR30467326 36249 35124 11.0 SRR29196768 0.986504 c594 c553 c525 c510 +SRR16762610 35359 34035 7.0 SRR29196768 0.986307 c595 c554 c526 c511 +SRR7513088 33869 30362 6.0 SRR2835057 0.992238 c596 c555 c527 c512 +SRR29196672 35123 34231 12.0 SRR29197260 0.986482 c597 c556 c528 c513 +SRR30654975 35773 34863 12.0 SRR29196768 0.986624 c598 c557 c529 c514 +SRR21156543 41078 36745 9.0 SRR29196768 0.986474 c599 c558 c530 c515 +SRR30631338 35522 34844 12.0 SRR21156521 0.986528 c600 c559 c531 c516 +SRR10728660 36954 35146 10.0 SRR10728609 0.989270 c601 c560 c532 c517 +ERR13824478 35115 32707 6.0 SRR29196768 0.986190 c602 c561 c533 c518 +SRR3740331 33281 32334 8.0 SRR3740301 0.989592 c603 c562 c534 c519 +SRR21601948 36878 35341 9.0 SRR29196768 0.986655 c604 c563 c535 c520 +SRR30809501 35989 34924 11.0 SRR30809447 0.985717 c605 c564 c536 c521 +SRR30830131 36053 35424 11.0 SRR30830166 0.986852 c606 c565 c537 c522 +SRR30467274 37699 35956 9.0 SRR30467273 0.985938 c607 c566 c538 c523 +SRR16762598 34499 33508 7.0 SRR21156152 0.999630 c608 c17 c26 c22 0.999630 0.999630 0.999630 +SRR7513099 34855 31545 6.0 SRR2835057 0.992363 c609 c567 c539 c524 +SRR29197556 35857 35417 11.0 SRR29196768 0.986947 c610 c568 c540 c525 +SRR30654546 35022 34323 12.0 SRR29196768 0.986157 c611 c569 c541 c526 +SRR21156474 34818 34048 12.0 SRR30654480 0.986187 c612 c570 c542 c527 +SRR30630965 34611 33869 13.0 SRR29196691 0.986514 c613 c571 c543 c528 +SRR10728634 36357 34998 10.0 SRR10728713 0.989325 c614 c572 c544 c529 +ERR13824481 34928 32818 6.0 SRR29196768 0.986492 c615 c573 c545 c530 +SRR3740278 33854 32894 9.0 SRR4907765 0.986511 c616 c574 c546 c531 +SRR21602047 36107 34986 11.0 SRR29196768 0.986889 c617 c575 c547 c532 +SRR30809447 35962 34378 10.0 SRR30809501 0.985717 c618 c576 c548 c533 +SRR30830121 35145 33102 10.0 SRR30830085 0.986406 c619 c577 c549 c534 +SRR30467306 37525 35539 10.0 SRR29196768 0.986503 c620 c578 c550 c535 +SRR16762605 34528 33599 7.0 SRR35909208 0.986180 c621 c579 c551 c536 +SRR7513108 34278 31169 6.0 SRR2835057 0.992343 c622 c580 c552 c537 +SRR29197121 35980 34951 11.0 SRR21156521 0.986650 c623 c581 c553 c538 +SRR30654806 35218 34184 13.0 SRR29196768 0.986762 c624 c582 c554 c539 +SRR21156152 34524 33648 7.0 SRR16762598 0.999630 c625 c17 c26 c22 0.999630 0.999630 0.999630 +SRR30631075 35456 35004 12.0 SRR29196768 0.986565 c626 c583 c555 c540 +SRR10728593 36665 35498 10.0 SRR10728702 0.989404 c627 c584 c556 c541 +ERR13824409 33879 31497 6.0 SRR35909208 0.985749 c628 c585 c557 c542 +SRR4907748 34120 32605 8.0 SRR4907762 0.994935 c629 c586 c558 c543 +SRR21601972 36391 35497 12.0 SRR29196768 0.986817 c630 c587 c559 c544 +SRR30809471 36290 33901 8.0 SRR30809473 0.998994 c631 c588 c560 c2 0.998787 +SRR30830177 35668 35026 11.0 SRR30830089 0.986699 c632 c589 c561 c545 +SRR30467229 36925 35667 11.0 SRR30467330 0.999557 c633 c7 c6 c6 0.999557 0.999557 0.999557 +SRR16762600 33202 32248 7.0 SRR35774118 0.985951 c634 c590 c562 c546 +SRR7513094 33547 30054 6.0 SRR7513095 0.996812 c635 c591 c563 c547 +SRR29196861 35466 34665 12.0 SRR29196768 0.986649 c636 c592 c564 c548 +SRR30654922 36059 35382 12.0 SRR21156145 0.985728 c637 c593 c565 c549 +SRR21156480 34127 33236 12.0 SRR21156274 0.986349 c638 c594 c566 c550 +SRR30631033 34609 34117 12.0 SRR35909208 0.986575 c639 c595 c567 c551 +SRR10728652 36522 35201 10.0 SRR10728639 0.989354 c640 c596 c568 c552 +ERR13824542 34549 32123 6.0 SRR29196768 0.985909 c641 c597 c569 c553 +SRR3740252 33728 32894 8.0 SRR4907747 0.986670 c642 c598 c570 c554 +SRR21601957 36491 35253 10.0 SRR29196768 0.986747 c643 c599 c571 c555 +SRR30809470 36484 34278 9.0 SRR30809491 0.992563 c644 c600 c572 c556 +SRR30830191 35466 34723 11.0 SRR30830106 0.986785 c645 c601 c573 c557 +SRR30467337 36594 34927 11.0 SRR29196768 0.986725 c646 c602 c574 c558 +SRR16762589 35144 33663 7.0 SRR29196768 0.986627 c647 c603 c575 c559 +SRR7513126 33905 30581 6.0 SRR7513125 0.997762 c648 c604 c576 c560 +SRR29196817 37282 35227 10.0 SRR29196768 0.986796 c649 c605 c577 c561 +SRR30655001 35473 34892 12.0 SRR29196768 0.987002 c650 c606 c578 c562 +SRR21156424 36189 35178 11.0 SRR29196768 0.986343 c651 c607 c579 c563 +SRR30630918 35709 35103 12.0 SRR30655012 0.986545 c652 c608 c580 c564 +SRR10728632 36471 35184 10.0 SRR10728617 0.989287 c653 c609 c581 c565 +ERR13824526 35573 32936 6.0 ERR13824566 0.961341 c654 c610 c582 c566 +SRR4907767 34769 33733 8.0 SRR4907750 0.986292 c655 c611 c583 c567 +SRR21602050 37006 35435 10.0 SRR29196768 0.986846 c656 c612 c584 c568 +SRR30809473 36284 34076 9.0 SRR30809471 0.998994 c657 c613 c585 c2 0.998787 +SRR30830106 35948 34925 11.0 SRR30830191 0.986785 c658 c614 c586 c569 +SRR30467339 37171 35487 10.0 SRR30467306 0.986393 c659 c615 c587 c570 +SRR16762558 35177 34138 7.0 SRR29196768 0.986377 c660 c616 c588 c571 +SRR7513101 33867 30239 6.0 SRR7513085 0.997525 c661 c617 c589 c572 +SRR29196879 35146 34362 12.0 SRR35774200 0.986465 c662 c618 c590 c573 +SRR30654574 35402 34586 13.0 SRR29196768 0.986678 c663 c619 c591 c574 +SRR21156145 35056 33605 7.0 SRR30654922 0.985728 c664 c620 c592 c575 +SRR30631363 36856 36066 12.0 SRR29196768 0.986837 c665 c621 c593 c576 +SRR10728651 36636 35054 10.0 SRR10728619 0.989345 c666 c622 c594 c577 +ERR13824455 37638 33388 5.0 SRR29197260 0.985838 c667 c623 c595 c578 +SRR3740282 34394 33159 8.0 SRR3740272 0.986761 c668 c624 c596 c579 +SRR21602036 37247 35783 11.0 SRR29196768 0.986570 c669 c625 c597 c580 +SRR30809414 36588 34759 9.0 SRR30809413 0.999089 c670 c626 c19 c18 0.999089 0.999089 +SRR30830116 36744 35706 9.0 SRR30830143 0.986820 c671 c627 c598 c581 +SRR30467317 36025 34855 11.0 SRR30467235 0.994011 c672 c628 c599 c582 +SRR16762630 35134 33585 7.0 SRR29196768 0.986529 c673 c629 c600 c583 +SRR7513078 33292 28967 5.0 SRR2835057 0.991522 c674 c630 c601 c584 +SRR29197504 35846 34937 12.0 SRR29196768 0.986685 c675 c631 c602 c585 +SRR30654761 35511 34554 11.0 SRR30654480 0.986508 c676 c632 c603 c586 +SRR21156542 41247 36557 8.0 SRR29196768 0.985904 c677 c633 c604 c587 +SRR30630992 35245 34657 12.0 SRR29196768 0.986439 c678 c634 c605 c588 +SRR10728617 36879 35397 10.0 SRR10728632 0.989287 c679 c635 c606 c589 +ERR13824582 35237 31940 5.0 SRR22188298 0.985725 c680 c636 c607 c590 +SRR4907758 34669 33533 8.0 SRR29196768 0.986662 c681 c637 c608 c591 +SRR21601941 34856 33651 13.0 SRR30654480 0.986735 c682 c638 c609 c592 +SRR30809442 37257 35378 10.0 SRR30809441 0.999386 c683 c639 c4 c4 0.999318 0.999318 +SRR30830166 36854 35844 10.0 SRR30830131 0.986852 c684 c640 c610 c593 +SRR30467327 36213 34703 11.0 SRR29196768 0.986319 c685 c641 c611 c594 +SRR16762622 32532 30544 7.0 SRR29196768 0.984794 c686 c642 c612 c595 +SRR7513079 34265 30862 6.0 SRR2835057 0.992709 c687 c643 c613 c596 +SRR29196774 35941 35082 11.0 SRR29196768 0.986714 c688 c644 c614 c597 +SRR30654500 35532 34816 11.0 SRR29196768 0.986412 c689 c645 c615 c598 +SRR21156114 35446 32858 6.0 SRR30654922 0.984696 c690 c646 c616 c599 +SRR30631062 35026 34232 13.0 SRR29196768 0.986432 c691 c647 c617 c600 +SRR10728646 37231 35662 10.0 SRR10728635 0.989103 c692 c648 c618 c601 diff --git a/scripts/build_reads_site.py b/scripts/build_reads_site.py index 55f801db..095f919b 100644 --- a/scripts/build_reads_site.py +++ b/scripts/build_reads_site.py @@ -83,14 +83,19 @@ def groups(col): mins = {r["run"]: r.get(f"min_ani_{SOLID_ANI}", "") for r in t} min_ani = lambda c: round(float(mins[c[0]]), 5) if mins.get(c[0]) else None abund = sorted(float(r["median_abund"] or 0) for r in t); med = abund[len(abund) // 2] - return clone_summary(rows, runs, g1, n2, min_ani, SOLID_ANI, SOLID_ALT, "solid containment", median_abund=round(med, 1), low_coverage=med < LOW_COVERAGE) + sf = os.path.join(os.path.dirname(clones_file), "summary.tsv"); slug = os.path.basename(clones_file)[:-len(".clones.tsv")] + bm = next((r.get("between_median") for r in rd(sf) if r["slug"] == slug), "") if os.path.exists(sf) else "" + uniform = bool(bm) and float(bm) >= SOLID_ALT # the species' runs are near-identical at sketch resolution: groups are "indistinguishable", not copies + return clone_summary(rows, runs, g1, n2, min_ani, SOLID_ANI, SOLID_ALT, "solid containment", median_abund=round(med, 1), low_coverage=med < LOW_COVERAGE, + between_median=float(bm) if bm else None, uniform=uniform) -def clone_summary(rows, runs, g1, n_alt, min_ani, thr, alt, metric, median_abund=None, low_coverage=False): +def clone_summary(rows, runs, g1, n_alt, min_ani, thr, alt, metric, median_abund=None, low_coverage=False, between_median=None, uniform=False): """Sets row["clone"] to "c" for runs in a group of two or more and row["cid"] to a clone id for every sketched run (the pages count clones from it), and returns the summary for the species report. Counts per clone are given only where the number of clones is stable between the two thresholds (a plateau: - within 10% of the runs), there are at least MIN_RUNS_FOR_COUNTS runs and coverage is not low; where not, similar runs may be close relatives and not - copies (or the reads cannot tell), and the report says so.""" + within 10% of the runs), there are at least MIN_RUNS_FOR_COUNTS runs, coverage is not low and the species is not uniform (median ANI between its runs at + least SOLID_ALT: the sketch cannot separate its strains); where not, similar runs may be close relatives and not copies (or the reads cannot tell), and + the report says so.""" by = {r["run"]: r for r in rows}; groups = [] for i, c in enumerate(g1, 1): for x in c: @@ -101,8 +106,8 @@ def clone_summary(rows, runs, g1, n_alt, min_ani, thr, alt, metric, median_abund groups.append({"id": f"c{i}", "size": len(c), "runs": sorted(c), "calls": dict(Counter(by[x]["call"] for x in c if x in by)), "min_ani": min_ani(c)}) plateau = abs(len(g1) - n_alt) <= 0.10 * len(runs) and len(runs) >= MIN_RUNS_FOR_COUNTS out = {"threshold": thr, "linkage": "average", "metric": metric, "runs": len(runs), "clones": len(g1), "clones_at_alt": n_alt, "alt_threshold": alt, - "groups": groups, "plateau": plateau, "median_abund": median_abund, "low_coverage": low_coverage, "counts": None} - if plateau and not low_coverage: + "groups": groups, "plateau": plateau, "median_abund": median_abund, "low_coverage": low_coverage, "between_median": between_median, "uniform": uniform, "counts": None} + if plateau and not low_coverage and not uniform: cnt = Counter() for c in g1: calls = {by[x]["call"] for x in c if x in by and by[x]["call"] in ("MAT1-1", "MAT1-2", "both")} diff --git a/tests/test_build_reads_site_script.py b/tests/test_build_reads_site_script.py index f5b552cf..7ce9039b 100644 --- a/tests/test_build_reads_site_script.py +++ b/tests/test_build_reads_site_script.py @@ -183,3 +183,13 @@ def test_low_coverage_gives_groups_but_no_counts(tmp_path): solid_table(tmp_path, labels, labels, abund=5.0) cl = build(tmp_path, tmp_path.parent)["clones"] assert cl["low_coverage"] and cl["median_abund"] == 5.0 and cl["plateau"] and cl["counts"] is None + + +def test_a_uniform_species_gives_groups_but_no_counts(tmp_path): + """Median ANI between runs >= 0.999 (summary.tsv of clone_solid.py): the sketch cannot separate the strains, so no counts per clone.""" + make_repo(tmp_path, {}, ["MAT1-1"] * 12) + labels = [f"c{i}" for i in range(1, 13)] + solid_table(tmp_path, labels, labels) + tsv(tmp_path / "datasets/reads/sra_survey/pilot/clone_solid/summary.tsv", ["slug", "runs", "between_median"], [["sp_one", "12", "0.99990"], ["sp_two", "5", "0.99"]]) + cl = build(tmp_path, tmp_path.parent)["clones"] + assert cl["uniform"] and cl["between_median"] == 0.9999 and cl["counts"] is None diff --git a/web/intro/reads/index.html b/web/intro/reads/index.html index 0462df22..f0f4beef 100644 --- a/web/intro/reads/index.html +++ b/web/intro/reads/index.html @@ -40,7 +40,7 @@

Method and limits